07/08/2015 Data Cleaning and Description
## Loading required package: boot
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## Attaching package: 'psych'
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## The following object is masked from 'package:boot':
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## logit
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## Loading required package: rJava
## Loading required package: xlsxjars
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## Attaching package: 'prettyR'
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## The following objects are masked from 'package:psych':
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## describe, skew
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## Attaching package: 'data.table'
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## The following object is masked from 'package:pastecs':
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## last## V1 V2 V3 V4 V5 V6
## 1 6 6 8 6 8 5
## 2 7 5 8 6 8 5
## 3 6 6 6 6 6 5
## 4 5 5 2 4 5 6
## 5 7 7 7 7 7 0
## 6 5 5 5 5 5 2
## 7 5 4 4 4 4 4
## 8 6 5 8 6 8 5
## 9 5 5 5 5 5 2
## 10 5 5 2 2 4 6
## 11 5 8 5 5 8 6
## 12 6 6 4 5 6 6
## 13 6 6 5 6 5 3
## 14 6 3 1 2 3 2
## 15 7 4 1 6 1 6
## 16 5 6 4 5 5 1
## 17 5 6 5 4 5 3
## 18 5 8 8 8 8 1
## 19 5 5 5 5 5 6
## 20 8 8 8 8 8 8
## 21 6 4 2 4 2 5
## 22 6 6 4 5 6 5
## 23 7 6 2 4 3 6
## 24 7 5 1 5 2 5
## 25 4 5 6 5 5 4
## 26 5 4 4 4 5 2
## 27 7 7 7 7 4 6
## 28 5 5 5 6 4 3
## 29 7 5 6 6 6 2
## 30 6 6 4 4 4 5
## 31 7 7 7 7 7 0
## 32 6 7 2 6 2 6
## 33 6 5 2 5 4 4
## 34 7 6 5 7 7 6
## 35 4 4 4 4 4 3
## 36 7 7 7 7 7 6
## 37 5 6 7 4 8 5
## 38 6 7 7 7 6 6
## 39 5 4 6 6 6 1
## 40 6 6 2 4 4 4
## 41 6 4 4 4 5 6
## 42 7 7 7 7 7 6
## 43 5 7 4 6 6 6
## 44 1 1 1 1 1 6
## 45 6 6 4 6 2 5
## 46 6 6 6 6 6 6
## 47 5 6 6 6 6 6
## 48 7 7 7 7 7 0
## 49 6 7 5 6 6 5
## 50 7 7 6 7 7 0
## 51 6 4 4 5 4 4
## 52 3 3 3 3 3 4
## 53 7 7 7 7 7 0
## 54 7 3 1 7 7 6
## 55 7 5 5 6 7 4
## 56 8 8 8 8 8 8
## 57 7 5 4 7 2 6
## 58 5 6 4 4 6 4
## 59 7 7 7 7 7 0
## 60 6 6 4 5 5 5
## 61 7 5 4 4 4 5
## 62 7 7 7 7 7 6
## 63 6 5 6 5 4 1
## 64 6 6 6 5 6 3
## 65 7 7 6 6 6 5
## 66 6 5 6 6 6 3
## 67 7 7 5 6 7 6
## 68 7 5 4 5 4 2
## 69 7 7 7 6 7 6
## 70 5 6 6 5 4 5
## 71 7 7 4 4 6 5## know_cr1 know_cr2 know_cr3 know_cr4 know_cr5 know_cr6
## [1,] 6 6 8 6 8 5
## [2,] 7 5 8 6 8 5
## [3,] 6 6 6 6 6 5
## [4,] 5 5 2 4 5 6
## [5,] 7 7 7 7 7 0
## [6,] 5 5 5 5 5 2## know_shr_ng.in1 know_shr_ng.in2 know_shr_ng.in3 know_shr_ng.in4
## 1 1 1 1 1
## 2 5 2 5 5
## 3 1 1 1 1
## 4 4 1 2 1
## 5 5 5 5 5
## 6 3 3 3 3
## know_shr_ng.in5
## 1 1
## 2 1
## 3 1
## 4 1
## 5 5
## 6 3## know_shr_ng.out1 know_shr_ng.out2 know_shr_ng.out3 know_shr_ng.out4
## 1 1 1 1 1
## 2 5 2 5 5
## 3 1 1 1 1
## 4 4 1 2 1
## 5 5 5 5 5
## 6 3 3 3 3
## know_shr_ng.out5
## 1 1
## 2 1
## 3 1
## 4 1
## 5 5
## 6 3## altru_1 altru_2 altru_3 rep_1 rep_2 rep_3 rel_1 rel_2 rel_3 rel_4
## 1 6 8 8 2 4 8 5 5 4 8
## 2 4 4 4 4 5 4 4 4 4 4
## 3 6 6 6 6 6 7 6 6 6 7
## 4 7 7 6 7 7 7 7 3 3 3
## 5 7 7 7 7 7 7 7 7 7 7
## 6 5 4 5 4 4 5 5 5 5 5
## learn_1 learn_2 learn_3 learn_4
## 1 5 6 5 5
## 2 4 5 6 4
## 3 6 7 6 6
## 4 3 6 5 5
## 5 7 7 7 7
## 6 5 5 5 5## research group V1 V2 V3
## 1 2 2 R_reclqoxbkH6TqNP Default Response Set alarm_hurts
## 2 2 2 R_T0MOxkQyVsNeTkJ Default Response Set gyroscope_spooning
## 3 1 2 R_1CeYXmxKKABDy7u Default Response Set summaries_ascend
## 4 1 2 R_1FFcL1mvX04l16o Default Response Set transit_concur
## 5 1 2 R_3MLkpKNNvIPVUtw Default Response Set eddy_tabulating
## 6 1 2 R_W20JFLgFAPvrGi5 Default Response Set links_diagnosing
## V4 V5 V6 V7 V8 V9 V10
## 1 NA <NA> 138.16.103.61 0 2015-05-08 17:12:44 2015-05-08 17:20:18 1
## 2 NA <NA> 128.211.227.168 0 2015-05-08 17:14:07 2015-05-08 17:23:10 1
## 3 NA <NA> 103.248.247.252 0 2015-05-08 17:19:22 2015-05-08 17:26:16 1
## 4 NA <NA> 72.182.32.36 0 2015-05-08 17:18:17 2015-05-08 17:26:20 1
## 5 NA <NA> 128.46.75.182 0 2015-05-08 17:25:14 2015-05-08 17:27:42 1
## 6 NA <NA> 128.211.166.8 0 2015-05-08 17:18:51 2015-05-08 17:29:54 1
## Q1 Q1_TEXT Q2 Q3 Q4 Q4_TEXT Q5 Q5_TEXT Q7.1_1 Q7.1_2
## 1 2 <NA> NA NA 34 NA 21 NA NA NA
## 2 1 <NA> 1 1 34 NA 53 NA NA NA
## 3 3 nishant_bmw@yahoo.com NA NA 38 NA NA NA 6 6
## 4 2 <NA> NA NA 32 NA NA NA 5 5
## 5 2 <NA> NA NA 12 NA NA NA 7 7
## 6 3 r99941001@gmail.com NA NA 11 NA NA NA 5 5
## Q7.1_3 Q7.1_4 Q7.1_5 Q7.1_6 Q8.1_1 Q8.1_2 Q8.1_3 Q8.1_4 Q8.1_5 Q8.1_6 Q9
## 1 NA NA NA NA 6 6 8 6 8 5 2
## 2 NA NA NA NA 7 5 8 6 8 5 2
## 3 6 6 6 5 NA NA NA NA NA NA 2
## 4 2 4 5 6 NA NA NA NA NA NA 2
## 5 7 7 7 0 NA NA NA NA NA NA 2
## 6 5 5 5 2 NA NA NA NA NA NA 2
## Q9_TEXT Q10.1_1 Q10.1_2 Q10.1_3 Q10.1_4 Q10.1_6 group.in1 group.in2
## 1 <NA> 1 1 1 1 1 NA NA
## 2 <NA> 5 2 5 5 1 NA NA
## 3 <NA> 1 1 1 1 1 NA NA
## 4 <NA> 4 1 2 1 1 NA NA
## 5 <NA> 5 5 5 5 5 NA NA
## 6 <NA> 3 3 3 3 3 NA NA
## group.in3 group.in4 group.in5 group.out1 group.out2 group.out3
## 1 NA NA NA NA NA NA
## 2 NA NA NA NA NA NA
## 3 NA NA NA NA NA NA
## 4 NA NA NA NA NA NA
## 5 NA NA NA NA NA NA
## 6 NA NA NA NA NA NA
## group.out4 group.out5 Q13.1_8 Q13.1_11 Q13.1_12 Q13.1_13 Q13.1_23
## 1 NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA
## 3 NA NA 6 6 6 6 6
## 4 NA NA 7 7 6 7 7
## 5 NA NA 7 7 7 7 7
## 6 NA NA 5 4 5 4 4
## Q13.1_25 Q13.1_26 Q13.1_27 Q13.1_28 Q13.1_29 Q13.1_30 Q13.1_31 Q13.1_32
## 1 NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA
## 3 7 6 6 6 7 6 7 6
## 4 7 7 3 3 3 3 6 5
## 5 7 7 7 7 7 7 7 7
## 6 5 5 5 5 5 5 5 5
## Q13.1_33 Q14.1_8 Q14.1_11 Q14.1_12 Q14.1_13 Q14.1_23 Q14.1_25 Q14.1_26
## 1 NA 6 8 8 2 4 8 5
## 2 NA 4 4 4 4 5 4 4
## 3 6 NA NA NA NA NA NA NA
## 4 5 NA NA NA NA NA NA NA
## 5 7 NA NA NA NA NA NA NA
## 6 5 NA NA NA NA NA NA NA
## Q14.1_27 Q14.1_28 Q14.1_29 Q14.1_30 Q14.1_31 Q14.1_32 Q14.1_33 Q16.1_3
## 1 5 4 8 5 6 5 5 2
## 2 4 4 4 4 5 6 4 1
## 3 NA NA NA NA NA NA NA 1
## 4 NA NA NA NA NA NA NA 2
## 5 NA NA NA NA NA NA NA 5
## 6 NA NA NA NA NA NA NA 3
## Q16.1_6 Q16.1_7 Q16.1_8 Q16.1_9 Q17.1_11 Q17.1_12 Q17.1_13 Q17.1_14
## 1 1 1 1 1 NA NA NA NA
## 2 1 1 1 1 NA NA NA NA
## 3 1 1 1 1 NA NA NA NA
## 4 2 2 2 2 NA NA NA NA
## 5 5 5 5 5 NA NA NA NA
## 6 3 3 3 3 NA NA NA NA
## Q17.1_15 Q17.2_11 Q17.2_12 Q17.2_13 Q17.2_14 Q17.2_15 Q18.1_10 Q18.1_11
## 1 NA NA NA NA NA NA 2 2
## 2 NA NA NA NA NA NA 2 2
## 3 NA NA NA NA NA NA 2 2
## 4 NA NA NA NA NA NA 2 2
## 5 NA NA NA NA NA NA 1 1
## 6 NA NA NA NA NA NA 2 2
## Q18.1_12 Q18.1_13 Q18.1_14 Q19.1_10 Q19.1_11 Q19.1_12 Q19.1_13 Q19.1_14
## 1 2 2 2 NA NA NA NA NA
## 2 2 2 2 NA NA NA NA NA
## 3 2 2 2 NA NA NA NA NA
## 4 2 2 2 NA NA NA NA NA
## 5 1 1 1 NA NA NA NA NA
## 6 2 2 2 NA NA NA NA NA
## Q19.2_10 Q19.2_11 Q19.2_12 Q19.2_13 Q19.2_14 Q20.1_33 Q20.1_34 Q20.1_35
## 1 NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA
## 3 NA NA NA NA NA 4 3 5
## 4 NA NA NA NA NA 1 1 1
## 5 NA NA NA NA NA 7 7 7
## 6 NA NA NA NA NA 4 4 4
## Q20.1_36 Q20.1_37 Q20.1_39 Q20.1_40 Q20.1_41 Q21.1_33 Q21.1_34 Q21.1_35
## 1 NA NA NA NA NA 2 2 8
## 2 NA NA NA NA NA 3 4 5
## 3 3 3 4 5 5 NA NA NA
## 4 1 1 4 4 1 NA NA NA
## 5 7 7 7 7 7 NA NA NA
## 6 4 4 4 4 4 NA NA NA
## Q21.1_36 Q21.1_37 Q21.1_39 Q21.1_40 Q21.1_41 Q22.1_10 Q22.1_11 Q22.1_12
## 1 8 1 3 2 2 1 1 1
## 2 5 3 4 5 5 1 1 1
## 3 NA NA NA NA NA 3 1 2
## 4 NA NA NA NA NA 1 1 3
## 5 NA NA NA NA NA 5 5 5
## 6 NA NA NA NA NA 3 3 3
## Q22.1_14 Q22.1_16 Q22.1_18 Q22.1_19 Q22.1_20 Q23.1_10 Q23.1_11 Q23.1_12
## 1 1 1 1 4 1 NA NA NA
## 2 1 1 1 1 1 NA NA NA
## 3 1 1 2 1 1 NA NA NA
## 4 1 1 1 1 1 NA NA NA
## 5 5 5 5 5 5 NA NA NA
## 6 3 3 3 3 3 NA NA NA
## Q23.1_13 Q23.1_14 Q23.1_18 Q23.1_19 Q23.1_20 Q23.1_23 Q23.1_25 Q23.1_26
## 1 NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA
## 3 NA NA NA NA NA NA NA NA
## 4 NA NA NA NA NA NA NA NA
## 5 NA NA NA NA NA NA NA NA
## 6 NA NA NA NA NA NA NA NA
## Q23.1_27 Q23.1_28 Q24.1_43 Q24.1_44 Q24.1_45 Q24.1_46 Q25.1_51 Q25.1_52
## 1 NA NA 5 5 5 5 NA NA
## 2 NA NA 4 4 4 4 NA NA
## 3 NA NA 3 3 3 3 NA NA
## 4 NA NA 3 3 1 2 NA NA
## 5 NA NA 7 7 7 7 NA NA
## 6 NA NA 4 4 4 4 NA NA
## Q25.1_53 Q25.1_54 Q25.1_55 Q25.1_56 Q26.1_47 Q26.1_48 Q26.1_49 Q26.1_50
## 1 NA NA NA NA 5 5 5 5
## 2 NA NA NA NA 4 4 4 4
## 3 NA NA NA NA 6 4 6 6
## 4 NA NA NA NA 7 7 7 7
## 5 NA NA NA NA 7 7 7 7
## 6 NA NA NA NA 4 4 4 4
## Q26.1_51 Q26.1_52 Q26.1_53 Q26.1_54 Q27.1_51 Q27.1_52 Q27.1_53 Q27.1_54
## 1 5 5 5 5 5 2 6 3
## 2 4 4 4 4 5 6 5 6
## 3 5 5 6 7 3 5 7 5
## 4 7 6 6 7 2 3 4 6
## 5 7 7 7 7 7 7 7 7
## 6 4 4 4 4 4 4 4 4
## Q28.1_20 Q28.1_22 Q28.1_23 Q28.1_24 Q28.1_25 Q28.1_26 Q28.1_27 Q28.1_28
## 1 2 1 2 2 2 2 3 4
## 2 3 1 2 2 1 3 2 2
## 3 3 3 3 2 2 2 2 2
## 4 5 4 4 1 1 1 1 1
## 5 5 5 5 NA 5 5 5 5
## 6 3 3 3 3 2 2 2 2
## Q28.1_29 Q29_3 Q29_4 Q29_5 Q29_6 Q30 Q31
## 1 3 1 NA NA NA 1 Brown University
## 2 2 1 NA NA NA 1 Purdue University
## 3 2 1 NA NA NA 1 VIT University
## 4 4 1 NA NA NA 1 The University of Texas at Austin
## 5 5 1 NA NA NA 1 Purdue university
## 6 2 1 1 NA NA 2 Purdue University
## Q32 Q33 Q34 Q35.1_1 Q35.1_2 Q35.1_3 Q36_1_TEXT Q36_2_TEXT
## 1 USA 9 9 6 7 4 Emily Eruysal
## 2 USA 9 10 6 5 6 Narci Huang
## 3 India 9 10 4 4 4 Nishant Ghosh
## 4 US 10 9 4 4 4 Nitin Prasad
## 5 USA 9 10 7 7 7 xingyu zhou
## 6 USA 9 10 7 1 1 Chinyi Chen
## Q36_3_TEXT Q36_4_TEXT Q37 LocationLatitude
## 1 emily_eruysal@brown.edu 5183695911 1 41.82671
## 2 huang406@purdue.edu 812-345-0055 1 40.42490
## 3 nishant_bmw@yahoo.com 919962805157 1 28.46671
## 4 nitinprasad@utexas.edu 7379325966 1 30.33890
## 5 zhou326@purdue.edu 7654045157 1 40.42490
## 6 r99941001@gmail.com 7654096346 1 40.42490
## LocationLongitude LocationAccuracy know_cr1 know_cr2 know_cr3 know_cr4
## 1 -71.39770 -1 6 6 8 6
## 2 -86.91620 -1 7 5 8 6
## 3 77.03329 -1 6 6 6 6
## 4 -97.77070 -1 5 5 2 4
## 5 -86.91620 -1 7 7 7 7
## 6 -86.91620 -1 5 5 5 5
## know_cr5 know_cr6 know_shr_ng.in1 know_shr_ng.in2 know_shr_ng.in3
## 1 8 5 1 1 1
## 2 8 5 5 2 5
## 3 6 5 1 1 1
## 4 5 6 4 1 2
## 5 7 0 5 5 5
## 6 5 2 3 3 3
## know_shr_ng.in4 know_shr_ng.in5 know_shr_ng.out1 know_shr_ng.out2
## 1 1 1 1 1
## 2 5 1 5 2
## 3 1 1 1 1
## 4 1 1 4 1
## 5 5 5 5 5
## 6 3 3 3 3
## know_shr_ng.out3 know_shr_ng.out4 know_shr_ng.out5 altru_1 altru_2
## 1 1 1 1 6 8
## 2 5 5 1 4 4
## 3 1 1 1 6 6
## 4 2 1 1 7 7
## 5 5 5 5 7 7
## 6 3 3 3 5 4
## altru_3 rep_1 rep_2 rep_3 rel_1 rel_2 rel_3 rel_4 learn_1 learn_2
## 1 8 2 4 8 5 5 4 8 5 6
## 2 4 4 5 4 4 4 4 4 4 5
## 3 6 6 6 7 6 6 6 7 6 7
## 4 6 7 7 7 7 3 3 3 3 6
## 5 7 7 7 7 7 7 7 7 7 7
## 6 5 4 4 5 5 5 5 5 5 5
## learn_3 learn_4
## 1 5 5
## 2 6 4
## 3 6 6
## 4 5 5
## 5 7 7
## 6 5 5## research group V1 V2 V3 V4 V5 V6 V7 V8
## nbr.val 71.00000000 71.00000000 NA NA NA NA NA NA 71 7.100000e+01
## nbr.null 0.00000000 0.00000000 NA NA NA NA NA NA 71 0.000000e+00
## nbr.na 0.00000000 0.00000000 NA NA NA NA NA NA 0 0.000000e+00
## min 1.00000000 1.00000000 NA NA NA NA NA NA 0 1.431105e+09
## max 2.00000000 2.00000000 NA NA NA NA NA NA 0 1.432622e+09
## range 1.00000000 1.00000000 NA NA NA NA NA NA 0 1.517314e+06
## sum 85.00000000 130.00000000 NA NA NA NA NA NA 0 1.016289e+11
## median 1.00000000 2.00000000 NA NA NA NA NA NA 0 1.431138e+09
## mean 1.19718310 1.83098592 NA NA NA NA NA NA 0 1.431393e+09
## SE.mean 0.04755477 0.04479291 NA NA NA NA NA NA 0 5.269989e+04
## CI.mean.0.95 0.09484500 0.08933664 NA NA NA NA NA NA 0 1.051066e+05
## var 0.16056338 0.14245473 NA NA NA NA NA NA 0 1.971867e+11
## std.dev 0.40070361 0.37743175 NA NA NA NA NA NA 0 4.440571e+05
## coef.var 0.33470537 0.20613580 NA NA NA NA NA NA NaN 3.102272e-04
## V9 V10 Q1 Q1_TEXT Q2 Q3
## nbr.val 7.100000e+01 71.00000000 71.00000000 NA 14 13
## nbr.null 0.000000e+00 3.00000000 0.00000000 NA 0 0
## nbr.na 0.000000e+00 0.00000000 0.00000000 NA 57 58
## min 1.431106e+09 0.00000000 1.00000000 NA 1 1
## max 1.432916e+09 1.00000000 3.00000000 NA 1 1
## range 1.810155e+06 1.00000000 2.00000000 NA 0 0
## sum 1.016308e+11 68.00000000 149.00000000 NA 14 13
## median 1.431139e+09 1.00000000 2.00000000 NA 1 1
## mean 1.431420e+09 0.95774648 2.09859155 NA 1 1
## SE.mean 5.646835e+04 0.02404406 0.08308665 NA 0 0
## CI.mean.0.95 1.126226e+05 0.04795436 0.16571111 NA 0 0
## var 2.263959e+11 0.04104628 0.49014085 NA 0 0
## std.dev 4.758108e+05 0.20259881 0.70010060 NA 0 0
## coef.var 3.324047e-04 0.21153699 0.33360498 NA 0 0
## Q4 Q4_TEXT Q5 Q5_TEXT Q7.1_1
## nbr.val 71.0000000 NA 14.0000000 NA 57.0000000
## nbr.null 0.0000000 NA 0.0000000 NA 0.0000000
## nbr.na 0.0000000 NA 57.0000000 NA 14.0000000
## min 1.0000000 NA 1.0000000 NA 1.0000000
## max 41.0000000 NA 53.0000000 NA 7.0000000
## range 40.0000000 NA 52.0000000 NA 6.0000000
## sum 1353.0000000 NA 276.0000000 NA 340.0000000
## median 16.0000000 NA 13.0000000 NA 6.0000000
## mean 19.0563380 NA 19.7142857 NA 5.9649123
## SE.mean 1.6001619 NA 4.5818905 NA 0.1562501
## CI.mean.0.95 3.1914222 NA 9.8985726 NA 0.3130066
## var 181.7967807 NA 293.9120879 NA 1.3916040
## std.dev 13.4832037 NA 17.1438644 NA 1.1796627
## coef.var 0.7075443 NA 0.8696163 NA 0.1977670
## Q7.1_2 Q7.1_3 Q7.1_4 Q7.1_5 Q7.1_6
## nbr.val 57.0000000 57.0000000 57.0000000 57.0000000 57.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 6.0000000
## nbr.na 14.0000000 14.0000000 14.0000000 14.0000000 14.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 0.0000000
## max 7.0000000 7.0000000 7.0000000 7.0000000 6.0000000
## range 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000
## sum 321.0000000 271.0000000 309.0000000 293.0000000 232.0000000
## median 6.0000000 5.0000000 6.0000000 5.0000000 5.0000000
## mean 5.6315789 4.7543860 5.4210526 5.1403509 4.0701754
## SE.mean 0.1690894 0.2325093 0.1786670 0.2145091 0.2751847
## CI.mean.0.95 0.3387267 0.4657722 0.3579131 0.4297134 0.5512611
## var 1.6296992 3.0814536 1.8195489 2.6228070 4.3164160
## std.dev 1.2765967 1.7554070 1.3489065 1.6195083 2.0775986
## coef.var 0.2266854 0.3692184 0.2488274 0.3150579 0.5104445
## Q8.1_1 Q8.1_2 Q8.1_3 Q8.1_4 Q8.1_5
## nbr.val 14.0000000 14.0000000 14.0000000 14.0000000 14.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 57.0000000 57.0000000 57.0000000 57.0000000 57.0000000
## min 5.0000000 3.0000000 1.0000000 2.0000000 2.0000000
## max 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000
## range 3.0000000 5.0000000 7.0000000 6.0000000 6.0000000
## sum 85.0000000 83.0000000 78.0000000 77.0000000 87.0000000
## median 6.0000000 6.0000000 6.5000000 5.5000000 8.0000000
## mean 6.0714286 5.9285714 5.5714286 5.5000000 6.2142857
## SE.mean 0.2864003 0.4504489 0.7316569 0.4658680 0.6477227
## CI.mean.0.95 0.6187302 0.9731357 1.5806486 1.0064466 1.3993199
## var 1.1483516 2.8406593 7.4945055 3.0384615 5.8736264
## std.dev 1.0716117 1.6854256 2.7376094 1.7431183 2.4235566
## coef.var 0.1765008 0.2842886 0.4913658 0.3169306 0.3899976
## Q8.1_6 Q9 Q9_TEXT Q10.1_1 Q10.1_2
## nbr.val 14.0000000 71.00000000 NA 59.0000000 59.0000000
## nbr.null 0.0000000 0.00000000 NA 0.0000000 0.0000000
## nbr.na 57.0000000 0.00000000 NA 12.0000000 12.0000000
## min 1.0000000 1.00000000 NA 1.0000000 1.0000000
## max 8.0000000 2.00000000 NA 5.0000000 5.0000000
## range 7.0000000 1.00000000 NA 4.0000000 4.0000000
## sum 68.0000000 130.00000000 NA 156.0000000 141.0000000
## median 5.0000000 2.00000000 NA 3.0000000 2.0000000
## mean 4.8571429 1.83098592 NA 2.6440678 2.3898305
## SE.mean 0.5226427 0.04479291 NA 0.1960491 0.1964277
## CI.mean.0.95 1.1291010 0.08933664 NA 0.3924349 0.3931928
## var 3.8241758 0.14245473 NA 2.2676797 2.2764465
## std.dev 1.9555500 0.37743175 NA 1.5058817 1.5087898
## coef.var 0.4026132 0.20613580 NA 0.5695322 0.6313376
## Q10.1_3 Q10.1_4 Q10.1_6 group.in1 group.in2
## nbr.val 58.0000000 59.0000000 58.0000000 12.0000000 12.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 13.0000000 12.0000000 13.0000000 59.0000000 59.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000 5.0000000 4.0000000
## range 4.0000000 4.0000000 4.0000000 4.0000000 3.0000000
## sum 151.0000000 174.0000000 97.0000000 43.0000000 25.0000000
## median 2.5000000 3.0000000 1.0000000 4.0000000 2.0000000
## mean 2.6034483 2.9491525 1.6724138 3.5833333 2.0833333
## SE.mean 0.2012358 0.2014322 0.1601344 0.4166667 0.3361622
## CI.mean.0.95 0.4029678 0.4032104 0.3206636 0.9170772 0.7398881
## var 2.3487598 2.3939217 1.4872958 2.0833333 1.3560606
## std.dev 1.5325664 1.5472303 1.2195474 1.4433757 1.1645002
## coef.var 0.5886679 0.5246356 0.7292139 0.4028025 0.5589601
## group.in3 group.in4 group.in5 group.out1 group.out2
## nbr.val 12.0000000 12.0000000 12.0000000 11.0000000 11.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 59.0000000 59.0000000 59.0000000 60.0000000 60.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000 5.0000000 3.0000000
## range 4.0000000 4.0000000 4.0000000 4.0000000 2.0000000
## sum 34.0000000 42.0000000 35.0000000 20.0000000 14.0000000
## median 3.0000000 4.0000000 2.5000000 1.0000000 1.0000000
## mean 2.8333333 3.5000000 2.9166667 1.8181818 1.2727273
## SE.mean 0.4740754 0.3988620 0.4166667 0.4225073 0.1949783
## CI.mean.0.95 1.0434329 0.8778894 0.9170772 0.9414049 0.4344387
## var 2.6969697 1.9090909 2.0833333 1.9636364 0.4181818
## std.dev 1.6422453 1.3816986 1.4433757 1.4012981 0.6466698
## coef.var 0.5796160 0.3947710 0.4948717 0.7707140 0.5080977
## group.out3 group.out4 group.out5 Q13.1_8 Q13.1_11
## nbr.val 11.0000000 11.0000000 11.0000000 57.0000000 57.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 60.0000000 60.0000000 60.0000000 14.0000000 14.0000000
## min 1.0000000 1.0000000 1.0000000 2.0000000 4.0000000
## max 2.0000000 5.0000000 4.0000000 7.0000000 7.0000000
## range 1.0000000 4.0000000 3.0000000 5.0000000 3.0000000
## sum 13.0000000 22.0000000 17.0000000 322.0000000 319.0000000
## median 1.0000000 1.0000000 1.0000000 6.0000000 6.0000000
## mean 1.1818182 2.0000000 1.5454545 5.6491228 5.5964912
## SE.mean 0.1219673 0.4861724 0.3122830 0.1592810 0.1540181
## CI.mean.0.95 0.2717602 1.0832597 0.6958098 0.3190782 0.3085354
## var 0.1636364 2.6000000 1.0727273 1.4461153 1.3521303
## std.dev 0.4045199 1.6124515 1.0357255 1.2025453 1.1628114
## coef.var 0.3422861 0.8062258 0.6701753 0.2128729 0.2077751
## Q13.1_12 Q13.1_13 Q13.1_23 Q13.1_25 Q13.1_26
## nbr.val 57.0000000 57.0000000 57.0000000 57.0000000 57.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 14.0000000 14.0000000 14.0000000 14.0000000 14.0000000
## min 2.0000000 1.0000000 2.0000000 1.0000000 1.0000000
## max 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## range 5.0000000 6.0000000 5.0000000 6.0000000 6.0000000
## sum 307.0000000 294.0000000 276.0000000 281.0000000 278.0000000
## median 6.0000000 5.0000000 5.0000000 5.0000000 5.0000000
## mean 5.3859649 5.1578947 4.8421053 4.9298246 4.8771930
## SE.mean 0.1711570 0.2014818 0.1886329 0.2165746 0.2080314
## CI.mean.0.95 0.3428687 0.4036165 0.3778771 0.4338510 0.4167369
## var 1.6697995 2.3139098 2.0281955 2.6735589 2.4667920
## std.dev 1.2922072 1.5211541 1.4241473 1.6351021 1.5706024
## coef.var 0.2399212 0.2949176 0.2941174 0.3316755 0.3220300
## Q13.1_27 Q13.1_28 Q13.1_29 Q13.1_30 Q13.1_31
## nbr.val 57.0000000 57.0000000 57.0000000 57.0000000 57.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 14.0000000 14.0000000 14.0000000 14.0000000 14.0000000
## min 1.0000000 2.0000000 2.0000000 1.0000000 4.0000000
## max 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## range 6.0000000 5.0000000 5.0000000 6.0000000 3.0000000
## sum 263.0000000 265.0000000 270.0000000 274.0000000 341.0000000
## median 5.0000000 5.0000000 5.0000000 5.0000000 6.0000000
## mean 4.6140351 4.6491228 4.7368421 4.8070175 5.9824561
## SE.mean 0.2120351 0.1962864 0.2087172 0.1880493 0.1312444
## CI.mean.0.95 0.4247574 0.3932088 0.4181107 0.3767080 0.2629140
## var 2.5626566 2.1961153 2.4830827 2.0156642 0.9818296
## std.dev 1.6008300 1.4819296 1.5757800 1.4197409 0.9908731
## coef.var 0.3469479 0.3187547 0.3326647 0.2953476 0.1656298
## Q13.1_32 Q13.1_33 Q14.1_8 Q14.1_11 Q14.1_12
## nbr.val 57.0000000 57.0000000 14.0000000 14.0000000 14.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 14.0000000 14.0000000 57.0000000 57.0000000 57.0000000
## min 2.0000000 2.0000000 1.0000000 1.0000000 1.0000000
## max 7.0000000 7.0000000 8.0000000 8.0000000 8.0000000
## range 5.0000000 5.0000000 7.0000000 7.0000000 7.0000000
## sum 312.0000000 308.0000000 74.0000000 77.0000000 72.0000000
## median 6.0000000 5.0000000 5.5000000 6.0000000 5.0000000
## mean 5.4736842 5.4035088 5.2857143 5.5000000 5.1428571
## SE.mean 0.1662374 0.1619501 0.5490108 0.5717719 0.5532833
## CI.mean.0.95 0.3330135 0.3244251 1.1860658 1.2352380 1.1952960
## var 1.5751880 1.4949875 4.2197802 4.5769231 4.2857143
## std.dev 1.2550649 1.2226968 2.0542104 2.1393745 2.0701967
## coef.var 0.2292907 0.2262783 0.3886344 0.3889772 0.4025382
## Q14.1_13 Q14.1_23 Q14.1_25 Q14.1_26 Q14.1_27
## nbr.val 14.0000000 14.0000000 14.0000000 14.0000000 14.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 57.0000000 57.0000000 57.0000000 57.0000000 57.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000
## range 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## sum 65.0000000 64.0000000 69.0000000 68.0000000 63.0000000
## median 5.0000000 4.5000000 4.5000000 4.5000000 4.0000000
## mean 4.6428571 4.5714286 4.9285714 4.8571429 4.5000000
## SE.mean 0.5606819 0.5518628 0.6750196 0.5432619 0.5906785
## CI.mean.0.95 1.2112796 1.1922272 1.4582912 1.1736459 1.2760833
## var 4.4010989 4.2637363 6.3791209 4.1318681 4.8846154
## std.dev 2.0978796 2.0648817 2.5256922 2.0326997 2.2101166
## coef.var 0.4518510 0.4516929 0.5124593 0.4184970 0.4911370
## Q14.1_28 Q14.1_29 Q14.1_30 Q14.1_31 Q14.1_32
## nbr.val 14.0000000 14.0000000 14.0000000 14.0000000 14.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 57.0000000 57.0000000 57.0000000 57.0000000 57.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000
## range 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## sum 61.0000000 64.0000000 59.0000000 75.0000000 66.0000000
## median 4.0000000 4.0000000 4.0000000 6.0000000 5.5000000
## mean 4.3571429 4.5714286 4.2142857 5.3571429 4.7142857
## SE.mean 0.5200078 0.6522513 0.5363549 0.5507951 0.6327037
## CI.mean.0.95 1.1234087 1.4091032 1.1587244 1.1899204 1.3668732
## var 3.7857143 5.9560440 4.0274725 4.2472527 5.6043956
## std.dev 1.9456912 2.4405008 2.0068564 2.0608864 2.3673605
## coef.var 0.4465521 0.5338595 0.4762032 0.3846988 0.5021674
## Q14.1_33 Q16.1_3 Q16.1_6 Q16.1_7 Q16.1_8
## nbr.val 14.0000000 59.0000000 59.0000000 59.0000000 59.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 57.0000000 12.0000000 12.0000000 12.0000000 12.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 8.0000000 5.0000000 5.0000000 5.0000000 5.0000000
## range 7.0000000 4.0000000 4.0000000 4.0000000 4.0000000
## sum 71.0000000 132.0000000 144.0000000 105.0000000 139.0000000
## median 5.0000000 2.0000000 2.0000000 1.0000000 2.0000000
## mean 5.0714286 2.2372881 2.4406780 1.7796610 2.3559322
## SE.mean 0.6154091 0.1680830 0.1938131 0.1431625 0.1868918
## CI.mean.0.95 1.3295106 0.3364546 0.3879591 0.2865709 0.3741045
## var 5.3021978 1.6668615 2.2162478 1.2092344 2.0607832
## std.dev 2.3026502 1.2910699 1.4887068 1.0996519 1.4355428
## coef.var 0.4540437 0.5770691 0.6099562 0.6178997 0.6093311
## Q16.1_9 Q17.1_11 Q17.1_12 Q17.1_13 Q17.1_14
## nbr.val 59.0000000 12.0000000 12.0000000 12.0000000 12.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 12.0000000 59.0000000 59.0000000 59.0000000 59.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 4.0000000 5.0000000 5.0000000
## range 4.0000000 4.0000000 3.0000000 4.0000000 4.0000000
## sum 155.0000000 31.0000000 19.0000000 29.0000000 33.0000000
## median 2.0000000 2.0000000 1.0000000 2.0000000 2.5000000
## mean 2.6271186 2.5833333 1.5833333 2.4166667 2.7500000
## SE.mean 0.2006685 0.4515685 0.2875796 0.3785605 0.4286165
## CI.mean.0.95 0.4016817 0.9938956 0.6329584 0.8332061 0.9433786
## var 2.3758036 2.4469697 0.9924242 1.7196970 2.2045455
## std.dev 1.5413642 1.5642793 0.9962049 1.3113722 1.4847712
## coef.var 0.5867128 0.6055275 0.6291821 0.5426368 0.5399168
## Q17.1_15 Q17.2_11 Q17.2_12 Q17.2_13 Q17.2_14
## nbr.val 12.0000000 12.00000000 12.0000000 12.0000000 12.0000000
## nbr.null 0.0000000 0.00000000 0.0000000 0.0000000 0.0000000
## nbr.na 59.0000000 59.00000000 59.0000000 59.0000000 59.0000000
## min 1.0000000 1.00000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 2.00000000 3.0000000 2.0000000 3.0000000
## range 4.0000000 1.00000000 2.0000000 1.0000000 2.0000000
## sum 32.0000000 13.00000000 14.0000000 14.0000000 15.0000000
## median 3.0000000 1.00000000 1.0000000 1.0000000 1.0000000
## mean 2.6666667 1.08333333 1.1666667 1.1666667 1.2500000
## SE.mean 0.4143877 0.08333333 0.1666667 0.1123666 0.1794351
## CI.mean.0.95 0.9120612 0.18341543 0.3668309 0.2473173 0.3949341
## var 2.0606061 0.08333333 0.3333333 0.1515152 0.3863636
## std.dev 1.4354811 0.28867513 0.5773503 0.3892495 0.6215816
## coef.var 0.5383054 0.26646936 0.4948717 0.3336424 0.4972652
## Q17.2_15 Q18.1_10 Q18.1_11 Q18.1_12
## nbr.val 12.0000000 59.00000000 59.00000000 59.00000000
## nbr.null 0.0000000 0.00000000 0.00000000 0.00000000
## nbr.na 59.0000000 12.00000000 12.00000000 12.00000000
## min 1.0000000 1.00000000 1.00000000 1.00000000
## max 2.0000000 2.00000000 2.00000000 2.00000000
## range 1.0000000 1.00000000 1.00000000 1.00000000
## sum 14.0000000 109.00000000 110.00000000 110.00000000
## median 1.0000000 2.00000000 2.00000000 2.00000000
## mean 1.1666667 1.84745763 1.86440678 1.86440678
## SE.mean 0.1123666 0.04721068 0.04495356 0.04495356
## CI.mean.0.95 0.2473173 0.09450244 0.08998432 0.08998432
## var 0.1515152 0.13150205 0.11922852 0.11922852
## std.dev 0.3892495 0.36263211 0.34529483 0.34529483
## coef.var 0.3336424 0.19628710 0.18520359 0.18520359
## Q18.1_13 Q18.1_14 Q19.1_10 Q19.1_11 Q19.1_12
## nbr.val 59.00000000 59.00000000 12.00000000 12.00000000 12.00000000
## nbr.null 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000
## nbr.na 12.00000000 12.00000000 59.00000000 59.00000000 59.00000000
## min 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000
## max 2.00000000 2.00000000 2.00000000 2.00000000 2.00000000
## range 1.00000000 1.00000000 1.00000000 1.00000000 1.00000000
## sum 110.00000000 108.00000000 23.00000000 23.00000000 23.00000000
## median 2.00000000 2.00000000 2.00000000 2.00000000 2.00000000
## mean 1.86440678 1.83050847 1.91666667 1.91666667 1.91666667
## SE.mean 0.04495356 0.04926427 0.08333333 0.08333333 0.08333333
## CI.mean.0.95 0.08998432 0.09861315 0.18341543 0.18341543 0.18341543
## var 0.11922852 0.14319112 0.08333333 0.08333333 0.08333333
## std.dev 0.34529483 0.37840602 0.28867513 0.28867513 0.28867513
## coef.var 0.18520359 0.20672181 0.15061311 0.15061311 0.15061311
## Q19.1_13 Q19.1_14 Q19.2_10 Q19.2_11 Q19.2_12
## nbr.val 12.0000000 12 12.00000000 12.0000000 12.0000000
## nbr.null 0.0000000 0 0.00000000 0.0000000 0.0000000
## nbr.na 59.0000000 59 59.00000000 59.0000000 59.0000000
## min 1.0000000 2 1.00000000 1.0000000 1.0000000
## max 2.0000000 2 2.00000000 2.0000000 2.0000000
## range 1.0000000 0 1.00000000 1.0000000 1.0000000
## sum 21.0000000 24 23.00000000 22.0000000 21.0000000
## median 2.0000000 2 2.00000000 2.0000000 2.0000000
## mean 1.7500000 2 1.91666667 1.8333333 1.7500000
## SE.mean 0.1305582 0 0.08333333 0.1123666 0.1305582
## CI.mean.0.95 0.2873568 0 0.18341543 0.2473173 0.2873568
## var 0.2045455 0 0.08333333 0.1515152 0.2045455
## std.dev 0.4522670 0 0.28867513 0.3892495 0.4522670
## coef.var 0.2584383 0 0.15061311 0.2123179 0.2584383
## Q19.2_13 Q19.2_14 Q20.1_33 Q20.1_34 Q20.1_35
## nbr.val 12.0000000 12.00000000 57.0000000 57.0000000 57.0000000
## nbr.null 0.0000000 0.00000000 0.0000000 0.0000000 0.0000000
## nbr.na 59.0000000 59.00000000 14.0000000 14.0000000 14.0000000
## min 1.0000000 1.00000000 1.0000000 1.0000000 1.0000000
## max 2.0000000 2.00000000 7.0000000 7.0000000 7.0000000
## range 1.0000000 1.00000000 6.0000000 6.0000000 6.0000000
## sum 20.0000000 23.00000000 187.0000000 187.0000000 190.0000000
## median 2.0000000 2.00000000 4.0000000 3.0000000 3.0000000
## mean 1.6666667 1.91666667 3.2807018 3.2807018 3.3333333
## SE.mean 0.1421338 0.08333333 0.2192982 0.2207222 0.2128888
## CI.mean.0.95 0.3128344 0.18341543 0.4393072 0.4421597 0.4264675
## var 0.2424242 0.08333333 2.7412281 2.7769424 2.5833333
## std.dev 0.4923660 0.28867513 1.6556654 1.6664160 1.6072751
## coef.var 0.2954196 0.15061311 0.5046681 0.5079450 0.4821825
## Q20.1_36 Q20.1_37 Q20.1_39 Q20.1_40 Q20.1_41
## nbr.val 57.0000000 57.0000000 57.0000000 57.0000000 57.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 14.0000000 14.0000000 14.0000000 14.0000000 14.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## range 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000
## sum 208.0000000 165.0000000 196.0000000 205.0000000 206.0000000
## median 4.0000000 3.0000000 4.0000000 4.0000000 4.0000000
## mean 3.6491228 2.8947368 3.4385965 3.5964912 3.6140351
## SE.mean 0.2116459 0.2028682 0.2094532 0.2208715 0.2371436
## CI.mean.0.95 0.4239778 0.4063939 0.4195852 0.4424589 0.4750557
## var 2.5532581 2.3458647 2.5006266 2.7807018 3.2055138
## std.dev 1.5978918 1.5316216 1.5813370 1.6675436 1.7903949
## coef.var 0.4378838 0.5291056 0.4598786 0.4636585 0.4954005
## Q21.1_33 Q21.1_34 Q21.1_35 Q21.1_36 Q21.1_37
## nbr.val 14.0000000 14.0000000 14.0000000 14.0000000 14.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 57.0000000 57.0000000 57.0000000 57.0000000 57.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000
## range 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## sum 61.0000000 62.0000000 77.0000000 75.0000000 57.0000000
## median 4.0000000 4.0000000 5.5000000 5.0000000 3.0000000
## mean 4.3571429 4.4285714 5.5000000 5.3571429 4.0714286
## SE.mean 0.7156580 0.7164801 0.7012548 0.6680062 0.7807033
## CI.mean.0.95 1.5460852 1.5478612 1.5149688 1.4431397 1.6866069
## var 7.1703297 7.1868132 6.8846154 6.2472527 8.5329670
## std.dev 2.6777471 2.6808232 2.6238551 2.4994505 2.9211243
## coef.var 0.6145649 0.6053472 0.4770646 0.4665641 0.7174691
## Q21.1_39 Q21.1_40 Q21.1_41 Q22.1_10 Q22.1_11
## nbr.val 14.0000000 14.0000000 14.0000000 59.0000000 59.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 57.0000000 57.0000000 57.0000000 12.0000000 12.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 8.0000000 8.0000000 8.0000000 5.0000000 5.0000000
## range 7.0000000 7.0000000 7.0000000 4.0000000 4.0000000
## sum 61.0000000 57.0000000 67.0000000 86.0000000 84.0000000
## median 3.5000000 3.0000000 5.0000000 1.0000000 1.0000000
## mean 4.3571429 4.0714286 4.7857143 1.4576271 1.4237288
## SE.mean 0.7457362 0.7145604 0.6888322 0.1216534 0.1189359
## CI.mean.0.95 1.6110651 1.5437139 1.4881315 0.2435158 0.2380761
## var 7.7857143 7.1483516 6.6428571 0.8731736 0.8345996
## std.dev 2.7902893 2.6736401 2.5773741 0.9344376 0.9135643
## coef.var 0.6403943 0.6566835 0.5385558 0.6410676 0.6416701
## Q22.1_12 Q22.1_14 Q22.1_16 Q22.1_18 Q22.1_19
## nbr.val 59.0000000 59.0000000 59.0000000 59.0000000 59.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 12.0000000 12.0000000 12.0000000 12.0000000 12.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000
## range 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000
## sum 142.0000000 92.0000000 91.0000000 104.0000000 133.0000000
## median 2.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## mean 2.4067797 1.5593220 1.5423729 1.7627119 2.2542373
## SE.mean 0.1905399 0.1475916 0.1416320 0.1732202 0.1927882
## CI.mean.0.95 0.3814071 0.2954367 0.2835073 0.3467380 0.3859075
## var 2.1420222 1.2852133 1.1835184 1.7703098 2.1928697
## std.dev 1.4635649 1.1336725 1.0878963 1.3305299 1.4808341
## coef.var 0.6081009 0.7270291 0.7053394 0.7548198 0.6569114
## Q22.1_20 Q23.1_10 Q23.1_11 Q23.1_12 Q23.1_13
## nbr.val 59.0000000 12.0000000 12.0000000 12.0000000 12.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 12.0000000 59.0000000 59.0000000 59.0000000 59.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000
## range 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000
## sum 93.0000000 24.0000000 19.0000000 37.0000000 21.0000000
## median 1.0000000 1.5000000 1.0000000 3.5000000 1.0000000
## mean 1.5762712 2.0000000 1.5833333 3.0833333 1.7500000
## SE.mean 0.1454620 0.4264014 0.3361622 0.3980698 0.4105613
## CI.mean.0.95 0.2911739 0.9385032 0.7398881 0.8761458 0.9036394
## var 1.2483928 2.1818182 1.3560606 1.9015152 2.0227273
## std.dev 1.1173150 1.4770979 1.1645002 1.3789544 1.4222262
## coef.var 0.7088342 0.7385489 0.7354738 0.4472284 0.8127007
## Q23.1_14 Q23.1_18 Q23.1_19 Q23.1_20 Q23.1_23
## nbr.val 12.0000000 12.0000000 12.0000000 12.0000000 12.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 59.0000000 59.0000000 59.0000000 59.0000000 59.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000
## range 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000
## sum 29.0000000 25.0000000 25.0000000 26.0000000 19.0000000
## median 2.5000000 1.0000000 1.5000000 1.0000000 1.0000000
## mean 2.4166667 2.0833333 2.0833333 2.1666667 1.5833333
## SE.mean 0.4166667 0.4680445 0.4166667 0.4578165 0.3980698
## CI.mean.0.95 0.9170772 1.0301590 0.9170772 1.0076474 0.8761458
## var 2.0833333 2.6287879 2.0833333 2.5151515 1.9015152
## std.dev 1.4433757 1.6213537 1.4433757 1.5859229 1.3789544
## coef.var 0.5972589 0.7782498 0.6928203 0.7319644 0.8709185
## Q23.1_25 Q23.1_26 Q23.1_27 Q23.1_28 Q24.1_43
## nbr.val 12.0000000 12.0000000 12.0000000 12.0000000 70.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 59.0000000 59.0000000 59.0000000 59.0000000 1.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000 5.0000000 7.0000000
## range 4.0000000 4.0000000 4.0000000 4.0000000 6.0000000
## sum 19.0000000 18.0000000 24.0000000 26.0000000 248.0000000
## median 1.0000000 1.0000000 2.0000000 1.5000000 4.0000000
## mean 1.5833333 1.5000000 2.0000000 2.1666667 3.5428571
## SE.mean 0.3579896 0.3588703 0.3481553 0.4051437 0.2299390
## CI.mean.0.95 0.7879298 0.7898682 0.7662847 0.8917153 0.4587157
## var 1.5378788 1.5454545 1.4545455 1.9696970 3.7010352
## std.dev 1.2401124 1.2431631 1.2060454 1.4034589 1.9238075
## coef.var 0.7832289 0.8287754 0.6030227 0.6477503 0.5430102
## Q24.1_44 Q24.1_45 Q24.1_46 Q25.1_51 Q25.1_52
## nbr.val 70.0000000 70.0000000 70.0000000 12.0000000 12.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 1.0000000 1.0000000 1.0000000 59.0000000 59.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## range 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000
## sum 248.0000000 284.0000000 275.0000000 67.0000000 71.0000000
## median 4.0000000 4.0000000 4.0000000 6.0000000 6.5000000
## mean 3.5428571 4.0571429 3.9285714 5.5833333 5.9166667
## SE.mean 0.2472923 0.2516083 0.2469872 0.5288400 0.5143153
## CI.mean.0.95 0.4933347 0.5019447 0.4927259 1.1639689 1.1320003
## var 4.2807453 4.4314700 4.2701863 3.3560606 3.1742424
## std.dev 2.0689962 2.1051057 2.0664429 1.8319554 1.7816404
## coef.var 0.5839909 0.5188641 0.5260037 0.3281114 0.3011223
## Q25.1_53 Q25.1_54 Q25.1_55 Q25.1_56 Q26.1_47
## nbr.val 12.0000000 12.0000000 12.0000000 12.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 59.0000000 59.0000000 59.0000000 59.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## range 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000
## sum 67.0000000 65.0000000 67.0000000 65.0000000 360.0000000
## median 6.0000000 6.0000000 6.0000000 6.0000000 5.0000000
## mean 5.5833333 5.4166667 5.5833333 5.4166667 5.0704225
## SE.mean 0.4839599 0.4993683 0.4839599 0.4680445 0.1505509
## CI.mean.0.95 1.0651885 1.0991022 1.0651885 1.0301590 0.3002643
## var 2.8106061 2.9924242 2.8106061 2.6287879 1.6092555
## std.dev 1.6764862 1.7298625 1.6764862 1.6213537 1.2685644
## coef.var 0.3002662 0.3193592 0.3002662 0.2993268 0.2501891
## Q26.1_48 Q26.1_49 Q26.1_50 Q26.1_51 Q26.1_52
## nbr.val 71.0000000 71.0000000 71.0000000 71.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## range 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000
## sum 354.0000000 349.0000000 317.0000000 365.0000000 339.0000000
## median 5.0000000 5.0000000 4.0000000 5.0000000 4.0000000
## mean 4.9859155 4.9154930 4.4647887 5.1408451 4.7746479
## SE.mean 0.1494362 0.1780133 0.1858484 0.1491704 0.1556413
## CI.mean.0.95 0.2980411 0.3550363 0.3706630 0.2975111 0.3104168
## var 1.5855131 2.2498994 2.4523139 1.5798793 1.7199195
## std.dev 1.2591716 1.4999665 1.5659866 1.2569325 1.3114570
## coef.var 0.2525457 0.3051508 0.3507415 0.2444992 0.2746709
## Q26.1_53 Q26.1_54 Q27.1_51 Q27.1_52 Q27.1_53
## nbr.val 71.0000000 71.0000000 71.0000000 71.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## range 6.0000000 6.0000000 6.0000000 6.0000000 6.0000000
## sum 344.0000000 349.0000000 282.0000000 283.0000000 326.0000000
## median 5.0000000 5.0000000 4.0000000 4.0000000 5.0000000
## mean 4.8450704 4.9154930 3.9718310 3.9859155 4.5915493
## SE.mean 0.1549296 0.1576315 0.2260427 0.2155830 0.2211889
## CI.mean.0.95 0.3089973 0.3143860 0.4508280 0.4299668 0.4411474
## var 1.7042254 1.7641851 3.6277666 3.2997988 3.4736419
## std.dev 1.3054598 1.3282263 1.9046697 1.8165348 1.8637709
## coef.var 0.2694408 0.2702122 0.4795445 0.4557384 0.4059133
## Q27.1_54 Q28.1_20 Q28.1_22 Q28.1_23 Q28.1_24
## nbr.val 71.0000000 70.0000000 70.0000000 70.0000000 70.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 7.0000000 5.0000000 5.0000000 5.0000000 5.0000000
## range 6.0000000 4.0000000 4.0000000 4.0000000 4.0000000
## sum 302.0000000 215.0000000 189.0000000 208.0000000 199.0000000
## median 4.0000000 3.0000000 3.0000000 3.0000000 3.0000000
## mean 4.2535211 3.0714286 2.7000000 2.9714286 2.8428571
## SE.mean 0.2267062 0.1384945 0.1527525 0.1438475 0.1248365
## CI.mean.0.95 0.4521512 0.2762889 0.3047329 0.2869679 0.2490420
## var 3.6490946 1.3426501 1.6333333 1.4484472 1.0908903
## std.dev 1.9102603 1.1587278 1.2780193 1.2035145 1.0444569
## coef.var 0.4491009 0.3772602 0.4733405 0.4050289 0.3673969
## Q28.1_25 Q28.1_26 Q28.1_27 Q28.1_28 Q28.1_29
## nbr.val 71.0000000 70.0000000 69.0000000 70.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 1.0000000 2.0000000 1.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000 5.0000000 5.0000000
## range 4.0000000 4.0000000 4.0000000 4.0000000 4.0000000
## sum 167.0000000 163.0000000 139.0000000 161.0000000 227.0000000
## median 2.0000000 2.0000000 2.0000000 2.0000000 3.0000000
## mean 2.3521127 2.3285714 2.0144928 2.3000000 3.1971831
## SE.mean 0.1270286 0.1345515 0.1297462 0.1324244 0.1369688
## CI.mean.0.95 0.2533505 0.2684229 0.2589045 0.2641795 0.2731756
## var 1.1456740 1.2672878 1.1615516 1.2275362 1.3319920
## std.dev 1.0703616 1.1257388 1.0777530 1.1079423 1.1541196
## coef.var 0.4550639 0.4834461 0.5349997 0.4817141 0.3609801
## Q29_3 Q29_4 Q29_5 Q29_6 Q30 Q31 Q32 Q33
## nbr.val 47 37 13 8 71.00000000 NA NA 70.00000000
## nbr.null 0 0 0 0 0.00000000 NA NA 0.00000000
## nbr.na 24 34 58 63 0.00000000 NA NA 1.00000000
## min 1 1 1 1 1.00000000 NA NA 9.00000000
## max 1 1 1 1 3.00000000 NA NA 10.00000000
## range 0 0 0 0 2.00000000 NA NA 1.00000000
## sum 47 37 13 8 119.00000000 NA NA 656.00000000
## median 1 1 1 1 1.00000000 NA NA 9.00000000
## mean 1 1 1 1 1.67605634 NA NA 9.37142857
## SE.mean 0 0 0 0 0.09360787 NA NA 0.05816884
## CI.mean.0.95 0 0 0 0 0.18669501 NA NA 0.11604367
## var 0 0 0 0 0.62213280 NA NA 0.23685300
## std.dev 0 0 0 0 0.78875395 NA NA 0.48667546
## coef.var 0 0 0 0 0.47060110 NA NA 0.05193183
## Q34 Q35.1_1 Q35.1_2 Q35.1_3 Q36_1_TEXT
## nbr.val 71.00000000 71.0000000 71.0000000 71.0000000 NA
## nbr.null 0.00000000 0.0000000 0.0000000 0.0000000 NA
## nbr.na 0.00000000 0.0000000 0.0000000 0.0000000 NA
## min 9.00000000 1.0000000 1.0000000 1.0000000 NA
## max 10.00000000 7.0000000 7.0000000 7.0000000 NA
## range 1.00000000 6.0000000 6.0000000 6.0000000 NA
## sum 673.00000000 364.0000000 333.0000000 324.0000000 NA
## median 9.00000000 5.0000000 4.0000000 4.0000000 NA
## mean 9.47887324 5.1267606 4.6901408 4.5633803 NA
## SE.mean 0.05970806 0.1870340 0.1877448 0.1910812 NA
## CI.mean.0.95 0.11908397 0.3730276 0.3744452 0.3810995 NA
## var 0.25311871 2.4837022 2.5026157 2.5923541 NA
## std.dev 0.50310905 1.5759766 1.5819658 1.6100789 NA
## coef.var 0.05307688 0.3074020 0.3372960 0.3528259 NA
## Q36_2_TEXT Q36_3_TEXT Q36_4_TEXT Q37 LocationLatitude
## nbr.val NA NA NA 68 68.0000000
## nbr.null NA NA NA 0 0.0000000
## nbr.na NA NA NA 3 3.0000000
## min NA NA NA 1 -34.6699982
## max NA NA NA 1 53.5247955
## range NA NA NA 0 88.1947937
## sum NA NA NA 68 2375.3007812
## median NA NA NA 1 40.1125031
## mean NA NA NA 1 34.9308938
## SE.mean NA NA NA 0 1.5497468
## CI.mean.0.95 NA NA NA 0 3.0933076
## var NA NA NA 0 163.3166353
## std.dev NA NA NA 0 12.7795397
## coef.var NA NA NA 0 0.3658521
## LocationLongitude LocationAccuracy know_cr1 know_cr2
## nbr.val 68.000000 71 71.0000000 71.0000000
## nbr.null 0.000000 0 0.0000000 0.0000000
## nbr.na 3.000000 0 0.0000000 0.0000000
## min -122.911697 -1 1.0000000 1.0000000
## max 117.280792 -1 8.0000000 8.0000000
## range 240.192490 0 7.0000000 7.0000000
## sum -2295.570610 -71 425.0000000 404.0000000
## median -73.965302 -1 6.0000000 6.0000000
## mean -33.758391 -1 5.9859155 5.6901408
## SE.mean 8.730085 0 0.1367825 0.1612221
## CI.mean.0.95 17.425323 0 0.2728040 0.3215474
## var 5182.578377 0 1.3283702 1.8454728
## std.dev 71.990127 0 1.1525494 1.3584818
## coef.var -2.132511 0 0.1925436 0.2387431
## know_cr3 know_cr4 know_cr5 know_cr6
## nbr.val 71.0000000 71.0000000 71.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 6.0000000
## nbr.na 0.0000000 0.0000000 0.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000 0.0000000
## max 8.0000000 8.0000000 8.0000000 8.0000000
## range 7.0000000 7.0000000 7.0000000 8.0000000
## sum 349.0000000 386.0000000 380.0000000 300.0000000
## median 5.0000000 6.0000000 6.0000000 5.0000000
## mean 4.9154930 5.4366197 5.3521127 4.2253521
## SE.mean 0.2362913 0.1687120 0.2180013 0.2450288
## CI.mean.0.95 0.4712682 0.3364855 0.4347900 0.4886945
## var 3.9641851 2.0209256 3.3742455 4.2627767
## std.dev 1.9910261 1.4215926 1.8369119 2.0646493
## coef.var 0.4050512 0.2614847 0.3432125 0.4886337
## know_shr_ng.in1 know_shr_ng.in2 know_shr_ng.in3
## nbr.val 71.0000000 71.0000000 70.0000000
## nbr.null 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 0.0000000 1.0000000
## min 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000
## range 4.0000000 4.0000000 4.0000000
## sum 191.0000000 176.0000000 186.0000000
## median 3.0000000 2.0000000 2.5000000
## mean 2.6901408 2.4788732 2.6571429
## SE.mean 0.1767030 0.1781406 0.1807343
## CI.mean.0.95 0.3524231 0.3552902 0.3605551
## var 2.2169014 2.2531187 2.2865424
## std.dev 1.4889263 1.5010392 1.5121318
## coef.var 0.5534752 0.6055329 0.5690818
## know_shr_ng.in4 know_shr_ng.in5 know_shr_ng.out1
## nbr.val 71.0000000 70.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 1.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000
## range 4.0000000 4.0000000 4.0000000
## sum 209.0000000 132.0000000 191.0000000
## median 3.0000000 1.0000000 3.0000000
## mean 2.9436620 1.8857143 2.6901408
## SE.mean 0.1804168 0.1596358 0.1767030
## CI.mean.0.95 0.3598300 0.3184647 0.3524231
## var 2.3110664 1.7838509 2.2169014
## std.dev 1.5202192 1.3356088 1.4889263
## coef.var 0.5164381 0.7082774 0.5534752
## know_shr_ng.out2 know_shr_ng.out3 know_shr_ng.out4
## nbr.val 71.0000000 70.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 1.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000
## max 5.0000000 5.0000000 5.0000000
## range 4.0000000 4.0000000 4.0000000
## sum 176.0000000 186.0000000 209.0000000
## median 2.0000000 2.5000000 3.0000000
## mean 2.4788732 2.6571429 2.9436620
## SE.mean 0.1781406 0.1807343 0.1804168
## CI.mean.0.95 0.3552902 0.3605551 0.3598300
## var 2.2531187 2.2865424 2.3110664
## std.dev 1.5010392 1.5121318 1.5202192
## coef.var 0.6055329 0.5690818 0.5164381
## know_shr_ng.out5 altru_1 altru_2 altru_3
## nbr.val 70.0000000 71.0000000 71.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 1.0000000 0.0000000 0.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000
## max 5.0000000 8.0000000 8.0000000 8.0000000
## range 4.0000000 7.0000000 7.0000000 7.0000000
## sum 132.0000000 396.0000000 396.0000000 379.0000000
## median 1.0000000 6.0000000 6.0000000 5.0000000
## mean 1.8857143 5.5774648 5.5774648 5.3380282
## SE.mean 0.1596358 0.1662245 0.1650096 0.1736618
## CI.mean.0.95 0.3184647 0.3315242 0.3291012 0.3463575
## var 1.7838509 1.9617706 1.9331992 2.1412475
## std.dev 1.3356088 1.4006322 1.3903953 1.4633002
## coef.var 0.7082774 0.2511235 0.2492881 0.2741275
## rep_1 rep_2 rep_3 rel_1 rel_2
## nbr.val 71.0000000 71.0000000 71.0000000 71.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000
## range 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## sum 359.0000000 340.0000000 350.0000000 346.0000000 326.0000000
## median 5.0000000 5.0000000 5.0000000 5.0000000 4.0000000
## mean 5.0563380 4.7887324 4.9295775 4.8732394 4.5915493
## SE.mean 0.1954074 0.1848546 0.2163572 0.1964776 0.2041594
## CI.mean.0.95 0.3897277 0.3686809 0.4315108 0.3918622 0.4071831
## var 2.7110664 2.4261569 3.3235412 2.7408451 2.9593561
## std.dev 1.6465316 1.5576126 1.8230582 1.6555498 1.7202779
## coef.var 0.3256372 0.3252662 0.3698204 0.3397226 0.3746618
## rel_3 rel_4 learn_1 learn_2 learn_3
## nbr.val 71.0000000 71.0000000 71.0000000 71.0000000 71.0000000
## nbr.null 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## nbr.na 0.0000000 0.0000000 0.0000000 0.0000000 0.0000000
## min 1.0000000 1.0000000 1.0000000 1.0000000 1.0000000
## max 8.0000000 8.0000000 8.0000000 8.0000000 8.0000000
## range 7.0000000 7.0000000 7.0000000 7.0000000 7.0000000
## sum 326.0000000 334.0000000 333.0000000 416.0000000 378.0000000
## median 4.0000000 5.0000000 5.0000000 6.0000000 6.0000000
## mean 4.5915493 4.7042254 4.6901408 5.8591549 5.3239437
## SE.mean 0.1866548 0.2088527 0.1845017 0.1518442 0.1836086
## CI.mean.0.95 0.3722713 0.4165436 0.3679770 0.3028436 0.3661959
## var 2.4736419 3.0969819 2.4169014 1.6370221 2.3935614
## std.dev 1.5727816 1.7598244 1.5546387 1.2794617 1.5471139
## coef.var 0.3425383 0.3740944 0.3314695 0.2183697 0.2905955
## learn_4
## nbr.val 71.0000000
## nbr.null 0.0000000
## nbr.na 0.0000000
## min 1.0000000
## max 8.0000000
## range 7.0000000
## sum 379.0000000
## median 5.0000000
## mean 5.3380282
## SE.mean 0.1759638
## CI.mean.0.95 0.3509486
## var 2.1983903
## std.dev 1.4826970
## coef.var 0.2777612## Description of dibbs1
## V4
## Q4_TEXT
## Q5_TEXT##
## Numeric
## mean median max var sd valid.n
## research 1.20 1.00 2.00 0.16 0.40 71
## group 1.83 2.00 2.00 0.14 0.38 71
## V7 0.00 0.00 0.00 0.00 0.00 71
## V10 0.96 1.00 1.00 0.04 0.20 71
## Q1 2.10 2.00 3.00 0.49 0.70 71
## Q2 1.00 1.00 1.00 0.00 0.00 14
## Q3 1.00 1.00 1.00 0.00 0.00 13
## Q4 19.06 16.00 41.00 181.80 13.48 71
## Q5 19.71 13.00 53.00 293.91 17.14 14
## Q7.1_1 5.96 6.00 7.00 1.39 1.18 57
## Q7.1_2 5.63 6.00 7.00 1.63 1.28 57
## Q7.1_3 4.75 5.00 7.00 3.08 1.76 57
## Q7.1_4 5.42 6.00 7.00 1.82 1.35 57
## Q7.1_5 5.14 5.00 7.00 2.62 1.62 57
## Q7.1_6 4.07 5.00 6.00 4.32 2.08 57
## Q8.1_1 6.07 6.00 8.00 1.15 1.07 14
## Q8.1_2 5.93 6.00 8.00 2.84 1.69 14
## Q8.1_3 5.57 6.50 8.00 7.49 2.74 14
## Q8.1_4 5.50 5.50 8.00 3.04 1.74 14
## Q8.1_5 6.21 8.00 8.00 5.87 2.42 14
## Q8.1_6 4.86 5.00 8.00 3.82 1.96 14
## Q9 1.83 2.00 2.00 0.14 0.38 71
## Q10.1_1 2.64 3.00 5.00 2.27 1.51 59
## Q10.1_2 2.39 2.00 5.00 2.28 1.51 59
## Q10.1_3 2.60 2.50 5.00 2.35 1.53 58
## Q10.1_4 2.95 3.00 5.00 2.39 1.55 59
## Q10.1_6 1.67 1.00 5.00 1.49 1.22 58
## group.in1 3.58 4.00 5.00 2.08 1.44 12
## group.in2 2.08 2.00 4.00 1.36 1.16 12
## group.in3 2.83 3.00 5.00 2.70 1.64 12
## group.in4 3.50 4.00 5.00 1.91 1.38 12
## group.in5 2.92 2.50 5.00 2.08 1.44 12
## group.out1 1.82 1.00 5.00 1.96 1.40 11
## group.out2 1.27 1.00 3.00 0.42 0.65 11
## group.out3 1.18 1.00 2.00 0.16 0.40 11
## group.out4 2.00 1.00 5.00 2.60 1.61 11
## group.out5 1.55 1.00 4.00 1.07 1.04 11
## Q13.1_8 5.65 6.00 7.00 1.45 1.20 57
## Q13.1_11 5.60 6.00 7.00 1.35 1.16 57
## Q13.1_12 5.39 6.00 7.00 1.67 1.29 57
## Q13.1_13 5.16 5.00 7.00 2.31 1.52 57
## Q13.1_23 4.84 5.00 7.00 2.03 1.42 57
## Q13.1_25 4.93 5.00 7.00 2.67 1.64 57
## Q13.1_26 4.88 5.00 7.00 2.47 1.57 57
## Q13.1_27 4.61 5.00 7.00 2.56 1.60 57
## Q13.1_28 4.65 5.00 7.00 2.20 1.48 57
## Q13.1_29 4.74 5.00 7.00 2.48 1.58 57
## Q13.1_30 4.81 5.00 7.00 2.02 1.42 57
## Q13.1_31 5.98 6.00 7.00 0.98 0.99 57
## Q13.1_32 5.47 6.00 7.00 1.58 1.26 57
## Q13.1_33 5.40 5.00 7.00 1.49 1.22 57
## Q14.1_8 5.29 5.50 8.00 4.22 2.05 14
## Q14.1_11 5.50 6.00 8.00 4.58 2.14 14
## Q14.1_12 5.14 5.00 8.00 4.29 2.07 14
## Q14.1_13 4.64 5.00 8.00 4.40 2.10 14
## Q14.1_23 4.57 4.50 8.00 4.26 2.06 14
## Q14.1_25 4.93 4.50 8.00 6.38 2.53 14
## Q14.1_26 4.86 4.50 8.00 4.13 2.03 14
## Q14.1_27 4.50 4.00 8.00 4.88 2.21 14
## Q14.1_28 4.36 4.00 8.00 3.79 1.95 14
## Q14.1_29 4.57 4.00 8.00 5.96 2.44 14
## Q14.1_30 4.21 4.00 8.00 4.03 2.01 14
## Q14.1_31 5.36 6.00 8.00 4.25 2.06 14
## Q14.1_32 4.71 5.50 8.00 5.60 2.37 14
## Q14.1_33 5.07 5.00 8.00 5.30 2.30 14
## Q16.1_3 2.24 2.00 5.00 1.67 1.29 59
## Q16.1_6 2.44 2.00 5.00 2.22 1.49 59
## Q16.1_7 1.78 1.00 5.00 1.21 1.10 59
## Q16.1_8 2.36 2.00 5.00 2.06 1.44 59
## Q16.1_9 2.63 2.00 5.00 2.38 1.54 59
## Q17.1_11 2.58 2.00 5.00 2.45 1.56 12
## Q17.1_12 1.58 1.00 4.00 0.99 1.00 12
## Q17.1_13 2.42 2.00 5.00 1.72 1.31 12
## Q17.1_14 2.75 2.50 5.00 2.20 1.48 12
## Q17.1_15 2.67 3.00 5.00 2.06 1.44 12
## Q17.2_11 1.08 1.00 2.00 0.08 0.29 12
## Q17.2_12 1.17 1.00 3.00 0.33 0.58 12
## Q17.2_13 1.17 1.00 2.00 0.15 0.39 12
## Q17.2_14 1.25 1.00 3.00 0.39 0.62 12
## Q17.2_15 1.17 1.00 2.00 0.15 0.39 12
## Q18.1_10 1.85 2.00 2.00 0.13 0.36 59
## Q18.1_11 1.86 2.00 2.00 0.12 0.35 59
## Q18.1_12 1.86 2.00 2.00 0.12 0.35 59
## Q18.1_13 1.86 2.00 2.00 0.12 0.35 59
## Q18.1_14 1.83 2.00 2.00 0.14 0.38 59
## Q19.1_10 1.92 2.00 2.00 0.08 0.29 12
## Q19.1_11 1.92 2.00 2.00 0.08 0.29 12
## Q19.1_12 1.92 2.00 2.00 0.08 0.29 12
## Q19.1_13 1.75 2.00 2.00 0.20 0.45 12
## Q19.1_14 2.00 2.00 2.00 0.00 0.00 12
## Q19.2_10 1.92 2.00 2.00 0.08 0.29 12
## Q19.2_11 1.83 2.00 2.00 0.15 0.39 12
## Q19.2_12 1.75 2.00 2.00 0.20 0.45 12
## Q19.2_13 1.67 2.00 2.00 0.24 0.49 12
## Q19.2_14 1.92 2.00 2.00 0.08 0.29 12
## Q20.1_33 3.28 4.00 7.00 2.74 1.66 57
## Q20.1_34 3.28 3.00 7.00 2.78 1.67 57
## Q20.1_35 3.33 3.00 7.00 2.58 1.61 57
## Q20.1_36 3.65 4.00 7.00 2.55 1.60 57
## Q20.1_37 2.89 3.00 7.00 2.35 1.53 57
## Q20.1_39 3.44 4.00 7.00 2.50 1.58 57
## Q20.1_40 3.60 4.00 7.00 2.78 1.67 57
## Q20.1_41 3.61 4.00 7.00 3.21 1.79 57
## Q21.1_33 4.36 4.00 8.00 7.17 2.68 14
## Q21.1_34 4.43 4.00 8.00 7.19 2.68 14
## Q21.1_35 5.50 5.50 8.00 6.88 2.62 14
## Q21.1_36 5.36 5.00 8.00 6.25 2.50 14
## Q21.1_37 4.07 3.00 8.00 8.53 2.92 14
## Q21.1_39 4.36 3.50 8.00 7.79 2.79 14
## Q21.1_40 4.07 3.00 8.00 7.15 2.67 14
## Q21.1_41 4.79 5.00 8.00 6.64 2.58 14
## Q22.1_10 1.46 1.00 5.00 0.87 0.93 59
## Q22.1_11 1.42 1.00 5.00 0.83 0.91 59
## Q22.1_12 2.41 2.00 5.00 2.14 1.46 59
## Q22.1_14 1.56 1.00 5.00 1.29 1.13 59
## Q22.1_16 1.54 1.00 5.00 1.18 1.09 59
## Q22.1_18 1.76 1.00 5.00 1.77 1.33 59
## Q22.1_19 2.25 1.00 5.00 2.19 1.48 59
## Q22.1_20 1.58 1.00 5.00 1.25 1.12 59
## Q23.1_10 2.00 1.50 5.00 2.18 1.48 12
## Q23.1_11 1.58 1.00 5.00 1.36 1.16 12
## Q23.1_12 3.08 3.50 5.00 1.90 1.38 12
## Q23.1_13 1.75 1.00 5.00 2.02 1.42 12
## Q23.1_14 2.42 2.50 5.00 2.08 1.44 12
## Q23.1_18 2.08 1.00 5.00 2.63 1.62 12
## Q23.1_19 2.08 1.50 5.00 2.08 1.44 12
## Q23.1_20 2.17 1.00 5.00 2.52 1.59 12
## Q23.1_23 1.58 1.00 5.00 1.90 1.38 12
## Q23.1_25 1.58 1.00 5.00 1.54 1.24 12
## Q23.1_26 1.50 1.00 5.00 1.55 1.24 12
## Q23.1_27 2.00 2.00 5.00 1.45 1.21 12
## Q23.1_28 2.17 1.50 5.00 1.97 1.40 12
## Q24.1_43 3.54 4.00 7.00 3.70 1.92 70
## Q24.1_44 3.54 4.00 7.00 4.28 2.07 70
## Q24.1_45 4.06 4.00 7.00 4.43 2.11 70
## Q24.1_46 3.93 4.00 7.00 4.27 2.07 70
## Q25.1_51 5.58 6.00 7.00 3.36 1.83 12
## Q25.1_52 5.92 6.50 7.00 3.17 1.78 12
## Q25.1_53 5.58 6.00 7.00 2.81 1.68 12
## Q25.1_54 5.42 6.00 7.00 2.99 1.73 12
## Q25.1_55 5.58 6.00 7.00 2.81 1.68 12
## Q25.1_56 5.42 6.00 7.00 2.63 1.62 12
## Q26.1_47 5.07 5.00 7.00 1.61 1.27 71
## Q26.1_48 4.99 5.00 7.00 1.59 1.26 71
## Q26.1_49 4.92 5.00 7.00 2.25 1.50 71
## Q26.1_50 4.46 4.00 7.00 2.45 1.57 71
## Q26.1_51 5.14 5.00 7.00 1.58 1.26 71
## Q26.1_52 4.77 4.00 7.00 1.72 1.31 71
## Q26.1_53 4.85 5.00 7.00 1.70 1.31 71
## Q26.1_54 4.92 5.00 7.00 1.76 1.33 71
## Q27.1_51 3.97 4.00 7.00 3.63 1.90 71
## Q27.1_52 3.99 4.00 7.00 3.30 1.82 71
## Q27.1_53 4.59 5.00 7.00 3.47 1.86 71
## Q27.1_54 4.25 4.00 7.00 3.65 1.91 71
## Q28.1_20 3.07 3.00 5.00 1.34 1.16 70
## Q28.1_22 2.70 3.00 5.00 1.63 1.28 70
## Q28.1_23 2.97 3.00 5.00 1.45 1.20 70
## Q28.1_24 2.84 3.00 5.00 1.09 1.04 70
## Q28.1_25 2.35 2.00 5.00 1.15 1.07 71
## Q28.1_26 2.33 2.00 5.00 1.27 1.13 70
## Q28.1_27 2.01 2.00 5.00 1.16 1.08 69
## Q28.1_28 2.30 2.00 5.00 1.23 1.11 70
## Q28.1_29 3.20 3.00 5.00 1.33 1.15 71
## Q29_3 1.00 1.00 1.00 0.00 0.00 47
## Q29_4 1.00 1.00 1.00 0.00 0.00 37
## Q29_5 1.00 1.00 1.00 0.00 0.00 13
## Q29_6 1.00 1.00 1.00 0.00 0.00 8
## Q30 1.68 1.00 3.00 0.62 0.79 71
## Q33 9.37 9.00 10.00 0.24 0.49 70
## Q34 9.48 9.00 10.00 0.25 0.50 71
## Q35.1_1 5.13 5.00 7.00 2.48 1.58 71
## Q35.1_2 4.69 4.00 7.00 2.50 1.58 71
## Q35.1_3 4.56 4.00 7.00 2.59 1.61 71
## Q37 1.00 1.00 1.00 0.00 0.00 68
## LocationLatitude 34.93 40.11 53.52 163.32 12.78 68
## LocationLongitude -33.76 -73.97 117.28 5182.58 71.99 68
## LocationAccuracy -1.00 -1.00 -1.00 0.00 0.00 71
## know_cr1 5.99 6.00 8.00 1.33 1.15 71
## know_cr2 5.69 6.00 8.00 1.85 1.36 71
## know_cr3 4.92 5.00 8.00 3.96 1.99 71
## know_cr4 5.44 6.00 8.00 2.02 1.42 71
## know_cr5 5.35 6.00 8.00 3.37 1.84 71
## know_cr6 4.23 5.00 8.00 4.26 2.06 71
## know_shr_ng.in1 2.69 3.00 5.00 2.22 1.49 71
## know_shr_ng.in2 2.48 2.00 5.00 2.25 1.50 71
## know_shr_ng.in3 2.66 2.50 5.00 2.29 1.51 70
## know_shr_ng.in4 2.94 3.00 5.00 2.31 1.52 71
## know_shr_ng.in5 1.89 1.00 5.00 1.78 1.34 70
## know_shr_ng.out1 2.69 3.00 5.00 2.22 1.49 71
## know_shr_ng.out2 2.48 2.00 5.00 2.25 1.50 71
## know_shr_ng.out3 2.66 2.50 5.00 2.29 1.51 70
## know_shr_ng.out4 2.94 3.00 5.00 2.31 1.52 71
## know_shr_ng.out5 1.89 1.00 5.00 1.78 1.34 70
## altru_1 5.58 6.00 8.00 1.96 1.40 71
## altru_2 5.58 6.00 8.00 1.93 1.39 71
## altru_3 5.34 5.00 8.00 2.14 1.46 71
## rep_1 5.06 5.00 8.00 2.71 1.65 71
## rep_2 4.79 5.00 8.00 2.43 1.56 71
## rep_3 4.93 5.00 8.00 3.32 1.82 71
## rel_1 4.87 5.00 8.00 2.74 1.66 71
## rel_2 4.59 4.00 8.00 2.96 1.72 71
## rel_3 4.59 4.00 8.00 2.47 1.57 71
## rel_4 4.70 5.00 8.00 3.10 1.76 71
## learn_1 4.69 5.00 8.00 2.42 1.55 71
## learn_2 5.86 6.00 8.00 1.64 1.28 71
## learn_3 5.32 6.00 8.00 2.39 1.55 71
## learn_4 5.34 5.00 8.00 2.20 1.48 71
##
## Factor
##
## V1 FS_1n1iFnkInk33LPY FS_31j8hq0H6mteYLH FS_pyJgAQpniZutcIh
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_10TXikJJRb4NdpD R_115T5QfhTYb3TlT R_1CeYXmxKKABDy7u
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_1cZclaDN5VcKxYp R_1dpeTSvJX3HE2Wk R_1DvwmWPUzXFCM6O
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_1FFcL1mvX04l16o R_1g6f8DYslH9oWYu R_1GvvJHnlaXyqTz9
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_1hXzkDwDXPnQQmE R_1i2REMkYepTzOb4 R_1IcGqG2dDjyFgKH
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_1IpiFfLVOdG1tbV R_1JFV5PPmGLrjcuH R_1Ka53z8U5OEAMl0
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_1kTj96JN8HmF4rX R_1mJLEJ4018evzJg R_1oIl3IwhOHlXZZP
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_1omSmMWa7T9DD67 R_1PYNMgsE9SzrGuf R_1QfTeAWL6r1Tlh6
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_24q5k5UJYwuaSFm R_24vK0M1TcLSaYXz R_24XxzKuoj2uROA9
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_26l00qn9bOxHtcX R_273BKu3iGbCIAzS R_2azTwKzDcT2H8g8
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_2dEAyefWqu8JD8B R_2e2NS0Z1knTeYEE R_2fkvbkmo1mhLvHn
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_2OVVvwaAq6v1aii R_2QYWioU0s02Cqhj R_2xEqIJmGzfqUf4x
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_2YgP2Dh1SFaXwsS R_2ZIzYlRFIXz4YNv R_2zqGBDJeME1S8d4
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_3DqBjsFxIHECIzg R_3GBoDgk0Dwqv6nZ R_3gO5Ion2UALawKf
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_3iwlX2jxWXQQL6W R_3kN9rDEy7Wnkz2N R_3MLkpKNNvIPVUtw
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_3nBMCD0tjJKLbHZ R_3nufpsRpR4knFtM R_3OqWBoHGEYQNXmx
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_3qe8lEksMkgdeSB R_3R1QfzWjHeEtcyl R_3rSuYa98RNZv5xA
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_3s5jKLB9ryWiOJS R_3ssOCX5eNkcOfNb R_6gumtRkiAbtzUFr
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_8pktSZ73Qq97Cxj R_AAkm0LXTNCPCLXX R_b7yKPAnwI4h8yyJ
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_BXpY5ORgv0pUeqJ R_Dc00iJ0qZ7v7IXL R_e2TxjqV0qOzfwjL
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_reclqoxbkH6TqNP R_RWGKh9oIsVarTIl R_Rz5iApjMTeCKQz7
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_T0MOxkQyVsNeTkJ R_tJnRjJFNL02h2ql R_tWYApz4n7K9YhAl
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_W20JFLgFAPvrGi5 R_XLYvzwCJCdsdmKd R_XnzDYleAfImETct
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V1 R_yt0ihw48ewEdGFj R_Zlc2WPNSJHxoTxT R_1JXeD8GRbZZfqgw
## Count 1.00 1.00 0
## Percent 1.41 1.41 0
##
## V1 R_1mtnpvBmUGYbpFM R_27O7qFFzvUOcWD6 R_WwFs2oLj1WmOrex
## Count 0 0 0
## Percent 0 0 0
## Mode >1 mode
##
## V2 Default Response Set <NA>
## Count 68.00 3.00
## Percent 95.77 4.23
## Mode Default Response Set
##
## V3 , confinement_qualifies , freshwater_superseded , win_sands
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 accommodation_convening acquittal_kissing activity_shear
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 advertisement_tripping alarm_hurts altimeter_effecting
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 ammonia_sanding answer_disclose auxiliaries_feeding
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 bigamy_racing bit_please boatswain_regulating boxes_spooning
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V3 breakdown_doubts bunk_embedding cab_overlapping
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 capability_anticipating capital_accommodating category_notifies
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 chaplain_repressurizing chest_smoking combatant_swapping
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 compounds_unplugging daybreak_okaying designation_obligating
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 eddy_tabulating effectiveness_bowing enlistment_contaminating
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 evacuation_tapping excess_barring exhibit_bind
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 gyroscope_spooning Hari, Utara interchange_translate
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 legging_cooperate links_diagnosing loss_berthing
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 miner_participating nameplate_offsetting nozzle_chew
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 operation_resting overflow_tending pen_suggest perfect_resetting
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V3 permit_rehearse plant_hyphenating poison_polishing
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 professions_debugging radio_profiting realinement_chilling
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## V3 roll_indent shadow_frees shelves_kicking standards_recapitulate
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V3 staple_deploy stick_cadence summaries_ascend ticks_telephoning
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V3 tide_breathe tools_vomiting trains_planning transit_concur
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V3 transmission_engage tub_damaging waist_anneal workman_aiding
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V3 workmen_glancing worth_rewind currents_anticipate
## Count 1.00 1.00 0
## Percent 1.41 1.41 0
##
## V3 factories_certify fall_perforating jacks_preserve
## Count 0 0 0
## Percent 0 0 0
## Mode >1 mode
##
## V5 <NA> utharahari23@gmail.com
## Count 70.00 1.00
## Percent 98.59 1.41
## Mode NA
##
## V6 54.174.77.195 103.248.247.252 104.254.217.184 104.254.217.85
## Count 2.00 1.00 1.00 1.00
## Percent 2.82 1.41 1.41 1.41
##
## V6 114.143.233.6 115.117.234.63 115.249.130.56 115.250.9.252
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 118.251.187.62 119.235.53.242 128.199.41.247 128.210.206.145
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 128.211.166.8 128.211.178.1 128.211.206.89 128.211.227.168
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 128.211.240.48 128.211.249.28 128.46.75.182 128.62.47.116
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 130.126.255.176 138.16.103.61 138.16.99.246 14.139.181.229
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 14.139.229.40 142.244.5.212 146.201.18.124 148.81.54.166
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 160.39.162.237 160.39.200.73 160.39.203.247 160.39.217.248
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 161.53.40.100 167.96.74.87 182.160.97.222 182.178.205.211
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 2.40.101.251 201.255.44.240 202.3.77.224 204.101.237.139
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 208.54.5.246 209.2.214.45 222.195.68.37 24.221.35.158
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 27.251.197.195 39.50.204.252 41.218.240.210 41.229.253.31
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 50.121.116.186 50.165.129.225 50.43.41.82 68.103.164.38
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 68.58.97.132 70.195.73.41 71.58.91.162 72.182.32.36 72.201.3.216
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## V6 73.32.176.37 76.191.24.152 82.198.56.161 82.3.110.6
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 86.188.143.201 88.18.218.165 88.6.135.66 90.173.23.121
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 94.253.155.25 98.193.89.106 98.222.61.117 98.228.52.36
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## V6 98.253.76.25 180.215.121.166 199.111.113.154 72.225.2.43
## Count 1.00 0 0 0
## Percent 1.41 0 0 0
##
## V6 96.127.242.101
## Count 0
## Percent 0
## Mode 54.174.77.195
##
## Q1_TEXT <NA> alexander.jin.pak@gmail.com alqadi2@illinois.edu
## Count 50.00 1.00 1.00
## Percent 70.42 1.41 1.41
##
## Q1_TEXT biswapriyodas1@gmail.com charmi@guilan.ac.ir
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q1_TEXT engrmkumailali@gmail.com esakr@purdue.edu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q1_TEXT fargi.abdelaali@gmail.com harshad.sahasrabudhe@gmail.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q1_TEXT kaimiao85@gmail.com kisshore18@gmail.com manas26t@gmail.com
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q1_TEXT mohamed@illinois.edu nishant_bmw@yahoo.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q1_TEXT peter.woerner@gmail.com r99941001@gmail.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q1_TEXT samueld1995@live.co.uk Sqazi@asu.edu tafaltens@gmail.com
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q1_TEXT utharahari23@gmail.com vahid@mail.ustc.edu.cn vganapa@purdue.edu
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
## Mode NA
##
## Q9_TEXT <NA> Gerhard Klimeck Research Group Restricted Access Forum
## Count 59.0 4.00
## Percent 83.1 5.63
##
## Q9_TEXT ECE 305 Lundstrom Gerhard Klimeck
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q9_TEXT Gerhard Klimeck’s research group at Purdue University
## Count 1.00
## Percent 1.41
##
## Q9_TEXT https://nanohub.org/groups/mse235 Mehedi Hasan
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q9_TEXT MSE 260 Thermodynamics of Materials - 2015 Edition
## Count 1.00
## Percent 1.41
##
## Q9_TEXT MSE 270: Atomistic Materials Science nanoBIO Node
## Count 1.00 1.00
## Percent 1.41 1.41
## Mode NA
##
## Q31 Purdue University Columbia University Purdue
## Count 13.00 4.00 3.00
## Percent 18.31 5.63 4.23
##
## Q31 Arizona State University Brown University UIUC
## Count 2.00 2.00 2.00
## Percent 2.82 2.82 2.82
##
## Q31 American International University-Bangladesh(AIUB)
## Count 1.00
## Percent 1.41
##
## Q31 arizona state university
## Count 1.00
## Percent 1.41
##
## Q31 Columbia University in the City of New York ECE, Purdue
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q31 Faculty of Sciences of Monastir - Tunisia FSU` GBPUAT, Pantnagar
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q31 Geethanjali college of engineering and technology hyderabad india
## Count 1.00
## Percent 1.41
##
## Q31 Guilan University IIT Kanpur Imperial
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q31 Indian Institute of Engineering Science and Technology (IIEST), Sbibpur
## Count 1.00
## Percent 1.41
##
## Q31 IPPT PAN
## Count 1.00
## Percent 1.41
##
## Q31 JSPMs Rajarshi Shahu College of Engineering, Pune, Maharashtra
## Count 1.00
## Percent 1.41
##
## Q31 Key Lab of Quantum Information, CAS Lehigh University
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q31 Lovely Professional University lsu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q31 National Spanish Research Council
## Count 1.00
## Percent 1.41
##
## Q31 NED University of Engineering and Technology, Karachi Pakistan.
## Count 1.00
## Percent 1.41
##
## Q31 NMIMS Northwestern University Pennsylvania State University
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q31 Purdue university sastra university
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q31 The University of Texas at Austin Universidad de Zaragoza
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q31 Universidad Tecnológica Nacional University
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q31 University of Alberta UNIVERSITY OF GHANA University of Illinois
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q31 University of Illinois Working on obtaining Bachelors Degree
## Count 1.00
## Percent 1.41
##
## Q31 University of Malaga University of Reading University of Seville
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q31 University of Waterloo University of Zagreb Universityof Rijeka
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q31 UT Austin VIT University VIT UNIVERSITY
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q31 Washington University in St. Louis XTU <NA>
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
## Mode Purdue University
##
## Q32 USA India US Spain United States United States of America
## Count 22.00 6.00 5.00 4.00 4.00 4.00
## Percent 30.99 8.45 7.04 5.63 5.63 5.63
##
## Q32 Canada China Croatia india INDIA Argentina Bangladesh GHANA Iran
## Count 2.00 2.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00
## Percent 2.82 2.82 2.82 2.82 2.82 1.41 1.41 1.41 1.41
##
## Q32 Italy Karachi, Pakistan. Pakistan Poland Tunisia U.S.A. UK
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q32 United Kingdom United states United States
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q32 united states of america Univted states
## Count 1.00 1.00
## Percent 1.41 1.41
## Mode USA
##
## Q36_1_TEXT <NA> Alex Daniel Peter Abdelaali Abhishek Adelia Adrian
## Count 7.00 2.00 2.00 2.00 1.00 1.00 1.00 1.00
## Percent 9.86 2.82 2.82 2.82 1.41 1.41 1.41 1.41
##
## Q36_1_TEXT Alejandro Alexander Alisher Andrew Archana Benjamin Biswapriyo
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_1_TEXT Brian Chinyi Christopher Cynthia Dan Emily emm Enas EVLn
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_1_TEXT Felipe Goranka Harshad James JEETHU Jose Kai Kalyani Katie
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_1_TEXT kisshore MANAS Marcin Mehedi Michael Mike Mohamed Morteza
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_1_TEXT Muhammad Kumail Narci Nature Nicolo Nishant Nitin praneeth
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_1_TEXT Prasad PRIYANK Ross Steve Suleman Tanya Uthara VAHID Varsha
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_1_TEXT Wei Woody xingyu Yu Zeljka
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
## Mode NA
##
## Q36_2_TEXT <NA> Huang Ali ayi Bhosale Bilalbegovic Browne Charmi Chen
## Count 7.00 2.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 9.86 2.82 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_2_TEXT Das Dinan Dispenza Eruysal Faltens Fargi Ganapathy Ghosh
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_2_TEXT Gilbertson Gomez Grede Hari Hasan Haugen He Hornbuckle Jaycox
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_2_TEXT JIJU A Jorquera kampara Kildishev Kumar Kurmanbay Le Mehaute
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_2_TEXT Lepkowski Llorens Mazdziarz McDonald Miao Milanovic Mohamed
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_2_TEXT Montecalvo MOSALLANEJAD Nguyen Pak Palles Dimmock Prasad Qazi
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_2_TEXT Ramirez ranga Ranga charyulu RASTOGI Sahasrabudhe Sakr
## Count 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_2_TEXT Sarangapani Sawyer Sky Tankasala Tayo Thomas TIWARI Vargas
## Count 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41 1.41 1.41 1.41
##
## Q36_2_TEXT Wleklinski Woerner zhou
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
## Mode NA
##
## Q36_3_TEXT <NA> 613419@celes.unizar.es abkvjti@gmail.com agrede@gmail.com
## Count 7.00 1.00 1.00 1.00
## Percent 9.86 1.41 1.41 1.41
##
## Q36_3_TEXT aj2513@columbia.edu ajh930@yahoo.com aleplatino@hotmail.com
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT alexander.jin.pak@gmail.com angel.huang90@gmail.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT biswapriyodas1@gmail.com bomcdon2@illinois.edu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT browne3@purdue.edu btayo@pittstate.edu charmi@guilan.ac.ir
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT daniel.lepkowski@gmail.com dhaugen@purdue.edu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT dps2144@columbia.edu emily_eruysal@brown.edu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT engrmkumailali@gmail.com esakr@purdue.edu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT fargi.abdelaali@gmail.com felipe.vargas@columbia.edu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT goranka.bilalbegovic@gmail.com heyuyhe@gmail.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT hsahasra@purdue.edu huang406@purdue.edu izthtc@yahoo.com
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT j.palles-dimmock13@imperial.ac.uk jeethujiju@gmail.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT jose.llorens@gmail.com kaimiao85@gmail.com Kildishev@purdue.edu
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT kisshore18@gmail.com ksb9790@gmail.com kurmanba@illinois.edu
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT manas26t@gmail.com mhasan.eee1990@gmail.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT mightystar2012@gmail.com mmazdz@ippt.gov.pl
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT mohamed@illinois.edu mpdinan@asu.edu mwleklin@purdue.edu
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT naturesky.tk@gmail.com nishant_bmw@yahoo.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT nitinprasad@utexas.edu nmm2167@columbia.edu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT peter.woerner@gmail.com peterng.20@gmail.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT priyaank@iitk.ac.in psaranga@purdue.edu r99941001@gmail.com
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT ramire28@purdue.edu rangaevln@yahoo.com
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT rosario_dispenza@brown.edu rpraneeth06@gmail.com sqazi@asu.edu
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT steebay31@gmail.com tafaltens@gmail.com thoma386@purdue.edu
## Count 1.00 1.00 1.00
## Percent 1.41 1.41 1.41
##
## Q36_3_TEXT utharahari23@gmail.com vahid@mail.ustc.edu.cn
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT vganapa@purdue.edu wgilber@purdue.edu
## Count 1.00 1.00
## Percent 1.41 1.41
##
## Q36_3_TEXT zeljka.milanovic@gmail.com zhou326@purdue.edu
## Count 1.00 1.00
## Percent 1.41 1.41
## Mode NA
##
## Q36_4_TEXT <NA> -1114 +54 9 1559953464 +91 7534818145 13855130140
## Count 9.00 1.00 1.00 1.00 1.00
## Percent 12.68 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 15879388535 1865747711 18973262476 21697422475 2173904919
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 2178190594 234375763 2487192911 3128692539 3149545404
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 317-697-0394 3303576431 34655538615 3475512031 4696678945
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 4802417925 4803328790 4807798187 4808142694 4847076593
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 48501349372 510 292 8343 516-574-9483 5167306118 5183695911
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 574-310-9174 574-323-1406 630-414-8383 630-915-0566 6463790820
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 660852284 7379325966 7574047826 765 586 7435 7654045157
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 7654096346 7654265104 7654303108 7655322142 7657142402
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 7657756903 812-345-0055 8472045545 8606056303 8653873246
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 8801732309847 9089075275 9177333324 917799033876 919450402486
## Count 1.00 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 919503850883 919619389154 919703848718 919962805157
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
##
## Q36_4_TEXT 923223460911 9432106273 9888431215 9994648488
## Count 1.00 1.00 1.00 1.00
## Percent 1.41 1.41 1.41 1.41
## Mode NA
##
## Logical
## [,1] [,2]
## Count 0 0
## Percent NaN NaN
## Mode >1 mode
## [,1] [,2]
## Count 0 0
## Percent NaN NaN
## Mode >1 mode
## [,1] [,2]
## Count 0 0
## Percent NaN NaN
## Mode >1 mode##
## Frequencies for Q4
## 34 1 3 6 36 11 12 32 2 7 8 9 18 21 26 10 13 14 16 19 23 29 38 40 41 NA
## 14 5 5 5 5 4 4 4 3 2 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 0
## % 19.7 7 7 7 7 5.6 5.6 5.6 4.2 2.8 2.8 2.8 2.8 2.8 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 0
## %!NA 19.7 7 7 7 7 5.6 5.6 5.6 4.2 2.8 2.8 2.8 2.8 2.8 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4
##
## Frequencies for Q5
## 8 1 3 5 9 10 16 20 21 36 40 46 53 NA
## 2 1 1 1 1 1 1 1 1 1 1 1 1 57
## % 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 80.3
## %!NA 14.3 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1 7.1
##
## Frequencies for Q9
## 2 1 NA
## 59 12 0
## % 83.1 16.9 0
## %!NA 83.1 16.9
##
## Frequencies for Q17.1_11
## 1 2 4 5 3 NA
## 4 3 2 2 1 59
## % 5.6 4.2 2.8 2.8 1.4 83.1
## %!NA 33.3 25 16.7 16.7 8.3
##
## Frequencies for Q17.1_12
## 1 2 3 4 NA
## 8 2 1 1 59
## % 11.3 2.8 1.4 1.4 83.1
## %!NA 66.7 16.7 8.3 8.3
##
## Frequencies for Q17.1_13
## 2 1 4 3 5 NA
## 5 3 2 1 1 59
## % 7 4.2 2.8 1.4 1.4 83.1
## %!NA 41.7 25 16.7 8.3 8.3
##
## Frequencies for Q17.1_14
## 1 2 3 4 5 NA
## 3 3 2 2 2 59
## % 4.2 4.2 2.8 2.8 2.8 83.1
## %!NA 25 25 16.7 16.7 16.7
##
## Frequencies for Q17.1_15
## 1 3 4 2 5 NA
## 4 3 3 1 1 59
## % 5.6 4.2 4.2 1.4 1.4 83.1
## %!NA 33.3 25 25 8.3 8.3
##
## Frequencies for Q17.2_11
## 1 2 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
##
## Frequencies for Q17.2_12
## 1 3 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
##
## Frequencies for Q17.2_13
## 1 2 NA
## 10 2 59
## % 14.1 2.8 83.1
## %!NA 83.3 16.7
##
## Frequencies for Q17.2_14
## 1 2 3 NA
## 10 1 1 59
## % 14.1 1.4 1.4 83.1
## %!NA 83.3 8.3 8.3
##
## Frequencies for Q17.2_15
## 1 2 NA
## 10 2 59
## % 14.1 2.8 83.1
## %!NA 83.3 16.7
##
## Frequencies for Q18.1_10
## 2 1 NA
## 50 9 12
## % 70.4 12.7 16.9
## %!NA 84.7 15.3
##
## Frequencies for Q18.1_11
## 2 1 NA
## 51 8 12
## % 71.8 11.3 16.9
## %!NA 86.4 13.6
##
## Frequencies for Q18.1_12
## 2 1 NA
## 51 8 12
## % 71.8 11.3 16.9
## %!NA 86.4 13.6
##
## Frequencies for Q18.1_13
## 2 1 NA
## 51 8 12
## % 71.8 11.3 16.9
## %!NA 86.4 13.6
##
## Frequencies for Q18.1_14
## 2 1 NA
## 49 10 12
## % 69 14.1 16.9
## %!NA 83.1 16.9
##
## Frequencies for Q19.1_10
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
##
## Frequencies for Q19.1_11
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
##
## Frequencies for Q19.1_12
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
##
## Frequencies for Q19.1_13
## 2 1 NA
## 9 3 59
## % 12.7 4.2 83.1
## %!NA 75 25
##
## Frequencies for Q19.1_14
## 2 NA
## 12 59
## % 16.9 83.1
## %!NA 100
##
## Frequencies for Q19.2_10
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
##
## Frequencies for Q19.2_11
## 2 1 NA
## 10 2 59
## % 14.1 2.8 83.1
## %!NA 83.3 16.7
##
## Frequencies for Q19.2_12
## 2 1 NA
## 9 3 59
## % 12.7 4.2 83.1
## %!NA 75 25
##
## Frequencies for Q19.2_13
## 2 1 NA
## 8 4 59
## % 11.3 5.6 83.1
## %!NA 66.7 33.3
##
## Frequencies for Q19.2_14
## 2 1 NA
## 11 1 59
## % 15.5 1.4 83.1
## %!NA 91.7 8.3
##
## Frequencies for Q29_3
## 1 NA
## 47 24
## % 66.2 33.8
## %!NA 100
##
## Frequencies for Q29_4
## 1 NA
## 37 34
## % 52.1 47.9
## %!NA 100
##
## Frequencies for Q29_5
## 1 NA
## 13 58
## % 18.3 81.7
## %!NA 100
##
## Frequencies for Q29_6
## 1 NA
## 8 63
## % 11.3 88.7
## %!NA 100
##
## Frequencies for Q30
## 1 2 3 NA
## 37 20 14 0
## % 52.1 28.2 19.7 0
## %!NA 52.1 28.2 19.7
##
## Frequencies for Q31
## Purdue University Columbia University Purdue Arizona State University Brown University UIUC American International University-Bangladesh(AIUB) arizona state university Columbia University in the City of New York ECE, Purdue Faculty of Sciences of Monastir - Tunisia FSU` GBPUAT, Pantnagar Geethanjali college of engineering and technology hyderabad india Guilan University IIT Kanpur Imperial Indian Institute of Engineering Science and Technology (IIEST), Sbibpur IPPT PAN JSPMs Rajarshi Shahu College of Engineering, Pune, Maharashtra Key Lab of Quantum Information, CAS Lehigh University Lovely Professional University lsu National Spanish Research Council NED University of Engineering and Technology, Karachi Pakistan. NMIMS Northwestern University Pennsylvania State University Purdue university sastra university The University of Texas at Austin Universidad de Zaragoza Universidad Tecnológica Nacional University University of Alberta UNIVERSITY OF GHANA University of Illinois University of Illinois Working on obtaining Bachelors Degree University of Malaga University of Reading University of Seville University of Waterloo University of Zagreb Universityof Rijeka UT Austin VIT University VIT UNIVERSITY Washington University in St. Louis XTU NA
## 13 4 3 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## % 18.3 5.6 4.2 2.8 2.8 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4
## %!NA 18.6 5.7 4.3 2.9 2.9 2.9 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4
##
## Frequencies for Q32
## USA India US Spain United States United States of America Canada China Croatia india INDIA Argentina Bangladesh GHANA Iran Italy Karachi, Pakistan. Pakistan Poland Tunisia U.S.A. UK United Kingdom United states United States united states of america Univted states NA
## 22 6 5 4 4 4 2 2 2 2 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 0
## % 31 8.5 7 5.6 5.6 5.6 2.8 2.8 2.8 2.8 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 0
## %!NA 31 8.5 7 5.6 5.6 5.6 2.8 2.8 2.8 2.8 2.8 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4 1.4
##
## Frequencies for Q33
## 9 10 NA
## 44 26 1
## % 62 36.6 1.4
## %!NA 62.9 37.1
##
## Frequencies for Q34
## 9 10 NA
## 37 34 0
## % 52.1 47.9 0
## %!NA 52.1 47.9
##
## Frequencies for Q35.1_1
## 4 7 6 5 1 2 NA
## 28 19 14 6 3 1 0
## % 39.4 26.8 19.7 8.5 4.2 1.4 0
## %!NA 39.4 26.8 19.7 8.5 4.2 1.4
##
## Frequencies for Q35.1_2
## 4 6 7 5 1 3 2 NA
## 30 14 11 7 4 3 2 0
## % 42.3 19.7 15.5 9.9 5.6 4.2 2.8 0
## %!NA 42.3 19.7 15.5 9.9 5.6 4.2 2.8
##
## Frequencies for Q35.1_3
## 4 7 6 5 1 2 3 NA
## 34 12 9 7 4 4 1 0
## % 47.9 16.9 12.7 9.9 5.6 5.6 1.4 0
## %!NA 47.9 16.9 12.7 9.9 5.6 5.6 1.4
##
## alexander.jin.pak@gmail.com alqadi2@illinois.edu
## 1 1
## biswapriyodas1@gmail.com charmi@guilan.ac.ir
## 1 1
## engrmkumailali@gmail.com esakr@purdue.edu
## 1 1
## fargi.abdelaali@gmail.com harshad.sahasrabudhe@gmail.com
## 1 1
## kaimiao85@gmail.com kisshore18@gmail.com
## 1 1
## manas26t@gmail.com mohamed@illinois.edu
## 1 1
## nishant_bmw@yahoo.com peter.woerner@gmail.com
## 1 1
## r99941001@gmail.com samueld1995@live.co.uk
## 1 1
## Sqazi@asu.edu tafaltens@gmail.com
## 1 1
## utharahari23@gmail.com vahid@mail.ustc.edu.cn
## 1 1
## vganapa@purdue.edu
## 1
## < table of extent 0 >
##
## ECE 305 Lundstrom
## 1
## Gerhard Klimeck
## 1
## Gerhard Klimeck Research Group Restricted Access Forum
## 4
## Gerhard Klimeck’s research group at Purdue University
## 1
## https://nanohub.org/groups/mse235
## 1
## Mehedi Hasan
## 1
## MSE 260 Thermodynamics of Materials - 2015 Edition
## 1
## MSE 270: Atomistic Materials Science
## 1
## nanoBIO Node
## 1## research group V1 V2 V3
## 1 2 2 R_reclqoxbkH6TqNP Default Response Set alarm_hurts
## 2 2 2 R_T0MOxkQyVsNeTkJ Default Response Set gyroscope_spooning
## 3 1 2 R_1CeYXmxKKABDy7u Default Response Set summaries_ascend
## 4 1 2 R_1FFcL1mvX04l16o Default Response Set transit_concur
## 5 1 2 R_3MLkpKNNvIPVUtw Default Response Set eddy_tabulating
## 6 1 2 R_W20JFLgFAPvrGi5 Default Response Set links_diagnosing
## V4 V5 V6 V7 V8 V9 V10
## 1 NA <NA> 138.16.103.61 0 2015-05-08 17:12:44 2015-05-08 17:20:18 1
## 2 NA <NA> 128.211.227.168 0 2015-05-08 17:14:07 2015-05-08 17:23:10 1
## 3 NA <NA> 103.248.247.252 0 2015-05-08 17:19:22 2015-05-08 17:26:16 1
## 4 NA <NA> 72.182.32.36 0 2015-05-08 17:18:17 2015-05-08 17:26:20 1
## 5 NA <NA> 128.46.75.182 0 2015-05-08 17:25:14 2015-05-08 17:27:42 1
## 6 NA <NA> 128.211.166.8 0 2015-05-08 17:18:51 2015-05-08 17:29:54 1
## Q1 Q1_TEXT Q2 Q3 Q4 Q4_TEXT Q5 Q5_TEXT Q7.1_1 Q7.1_2
## 1 2 <NA> NA NA 34 NA 21 NA NA NA
## 2 1 <NA> 1 1 34 NA 53 NA NA NA
## 3 3 nishant_bmw@yahoo.com NA NA 38 NA NA NA 6 6
## 4 2 <NA> NA NA 32 NA NA NA 5 5
## 5 2 <NA> NA NA 12 NA NA NA 7 7
## 6 3 r99941001@gmail.com NA NA 11 NA NA NA 5 5
## Q7.1_3 Q7.1_4 Q7.1_5 Q7.1_6 Q8.1_1 Q8.1_2 Q8.1_3 Q8.1_4 Q8.1_5 Q8.1_6 Q9
## 1 NA NA NA NA 6 6 8 6 8 5 2
## 2 NA NA NA NA 7 5 8 6 8 5 2
## 3 6 6 6 5 NA NA NA NA NA NA 2
## 4 2 4 5 6 NA NA NA NA NA NA 2
## 5 7 7 7 0 NA NA NA NA NA NA 2
## 6 5 5 5 2 NA NA NA NA NA NA 2
## Q9_TEXT Q10.1_1 Q10.1_2 Q10.1_3 Q10.1_4 Q10.1_6 group.in1 group.in2
## 1 <NA> 1 1 1 1 1 NA NA
## 2 <NA> 5 2 5 5 1 NA NA
## 3 <NA> 1 1 1 1 1 NA NA
## 4 <NA> 4 1 2 1 1 NA NA
## 5 <NA> 5 5 5 5 5 NA NA
## 6 <NA> 3 3 3 3 3 NA NA
## group.in3 group.in4 group.in5 group.out1 group.out2 group.out3
## 1 NA NA NA NA NA NA
## 2 NA NA NA NA NA NA
## 3 NA NA NA NA NA NA
## 4 NA NA NA NA NA NA
## 5 NA NA NA NA NA NA
## 6 NA NA NA NA NA NA
## group.out4 group.out5 Q13.1_8 Q13.1_11 Q13.1_12 Q13.1_13 Q13.1_23
## 1 NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA
## 3 NA NA 6 6 6 6 6
## 4 NA NA 7 7 6 7 7
## 5 NA NA 7 7 7 7 7
## 6 NA NA 5 4 5 4 4
## Q13.1_25 Q13.1_26 Q13.1_27 Q13.1_28 Q13.1_29 Q13.1_30 Q13.1_31 Q13.1_32
## 1 NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA
## 3 7 6 6 6 7 6 7 6
## 4 7 7 3 3 3 3 6 5
## 5 7 7 7 7 7 7 7 7
## 6 5 5 5 5 5 5 5 5
## Q13.1_33 Q14.1_8 Q14.1_11 Q14.1_12 Q14.1_13 Q14.1_23 Q14.1_25 Q14.1_26
## 1 NA 6 8 8 2 4 8 5
## 2 NA 4 4 4 4 5 4 4
## 3 6 NA NA NA NA NA NA NA
## 4 5 NA NA NA NA NA NA NA
## 5 7 NA NA NA NA NA NA NA
## 6 5 NA NA NA NA NA NA NA
## Q14.1_27 Q14.1_28 Q14.1_29 Q14.1_30 Q14.1_31 Q14.1_32 Q14.1_33 Q16.1_3
## 1 5 4 8 5 6 5 5 2
## 2 4 4 4 4 5 6 4 1
## 3 NA NA NA NA NA NA NA 1
## 4 NA NA NA NA NA NA NA 2
## 5 NA NA NA NA NA NA NA 5
## 6 NA NA NA NA NA NA NA 3
## Q16.1_6 Q16.1_7 Q16.1_8 Q16.1_9 Q17.1_11 Q17.1_12 Q17.1_13 Q17.1_14
## 1 1 1 1 1 NA NA NA NA
## 2 1 1 1 1 NA NA NA NA
## 3 1 1 1 1 NA NA NA NA
## 4 2 2 2 2 NA NA NA NA
## 5 5 5 5 5 NA NA NA NA
## 6 3 3 3 3 NA NA NA NA
## Q17.1_15 Q17.2_11 Q17.2_12 Q17.2_13 Q17.2_14 Q17.2_15 Q18.1_10 Q18.1_11
## 1 NA NA NA NA NA NA 2 2
## 2 NA NA NA NA NA NA 2 2
## 3 NA NA NA NA NA NA 2 2
## 4 NA NA NA NA NA NA 2 2
## 5 NA NA NA NA NA NA 1 1
## 6 NA NA NA NA NA NA 2 2
## Q18.1_12 Q18.1_13 Q18.1_14 Q19.1_10 Q19.1_11 Q19.1_12 Q19.1_13 Q19.1_14
## 1 2 2 2 NA NA NA NA NA
## 2 2 2 2 NA NA NA NA NA
## 3 2 2 2 NA NA NA NA NA
## 4 2 2 2 NA NA NA NA NA
## 5 1 1 1 NA NA NA NA NA
## 6 2 2 2 NA NA NA NA NA
## Q19.2_10 Q19.2_11 Q19.2_12 Q19.2_13 Q19.2_14 Q20.1_33 Q20.1_34 Q20.1_35
## 1 NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA
## 3 NA NA NA NA NA 4 3 5
## 4 NA NA NA NA NA 1 1 1
## 5 NA NA NA NA NA 7 7 7
## 6 NA NA NA NA NA 4 4 4
## Q20.1_36 Q20.1_37 Q20.1_39 Q20.1_40 Q20.1_41 Q21.1_33 Q21.1_34 Q21.1_35
## 1 NA NA NA NA NA 2 2 8
## 2 NA NA NA NA NA 3 4 5
## 3 3 3 4 5 5 NA NA NA
## 4 1 1 4 4 1 NA NA NA
## 5 7 7 7 7 7 NA NA NA
## 6 4 4 4 4 4 NA NA NA
## Q21.1_36 Q21.1_37 Q21.1_39 Q21.1_40 Q21.1_41 Q22.1_10 Q22.1_11 Q22.1_12
## 1 8 1 3 2 2 1 1 1
## 2 5 3 4 5 5 1 1 1
## 3 NA NA NA NA NA 3 1 2
## 4 NA NA NA NA NA 1 1 3
## 5 NA NA NA NA NA 5 5 5
## 6 NA NA NA NA NA 3 3 3
## Q22.1_14 Q22.1_16 Q22.1_18 Q22.1_19 Q22.1_20 Q23.1_10 Q23.1_11 Q23.1_12
## 1 1 1 1 4 1 NA NA NA
## 2 1 1 1 1 1 NA NA NA
## 3 1 1 2 1 1 NA NA NA
## 4 1 1 1 1 1 NA NA NA
## 5 5 5 5 5 5 NA NA NA
## 6 3 3 3 3 3 NA NA NA
## Q23.1_13 Q23.1_14 Q23.1_18 Q23.1_19 Q23.1_20 Q23.1_23 Q23.1_25 Q23.1_26
## 1 NA NA NA NA NA NA NA NA
## 2 NA NA NA NA NA NA NA NA
## 3 NA NA NA NA NA NA NA NA
## 4 NA NA NA NA NA NA NA NA
## 5 NA NA NA NA NA NA NA NA
## 6 NA NA NA NA NA NA NA NA
## Q23.1_27 Q23.1_28 Q24.1_43 Q24.1_44 Q24.1_45 Q24.1_46 Q25.1_51 Q25.1_52
## 1 NA NA 5 5 5 5 NA NA
## 2 NA NA 4 4 4 4 NA NA
## 3 NA NA 3 3 3 3 NA NA
## 4 NA NA 3 3 1 2 NA NA
## 5 NA NA 7 7 7 7 NA NA
## 6 NA NA 4 4 4 4 NA NA
## Q25.1_53 Q25.1_54 Q25.1_55 Q25.1_56 Q26.1_47 Q26.1_48 Q26.1_49 Q26.1_50
## 1 NA NA NA NA 5 5 5 5
## 2 NA NA NA NA 4 4 4 4
## 3 NA NA NA NA 6 4 6 6
## 4 NA NA NA NA 7 7 7 7
## 5 NA NA NA NA 7 7 7 7
## 6 NA NA NA NA 4 4 4 4
## Q26.1_51 Q26.1_52 Q26.1_53 Q26.1_54 Q27.1_51 Q27.1_52 Q27.1_53 Q27.1_54
## 1 5 5 5 5 5 2 6 3
## 2 4 4 4 4 5 6 5 6
## 3 5 5 6 7 3 5 7 5
## 4 7 6 6 7 2 3 4 6
## 5 7 7 7 7 7 7 7 7
## 6 4 4 4 4 4 4 4 4
## Q28.1_20 Q28.1_22 Q28.1_23 Q28.1_24 Q28.1_25 Q28.1_26 Q28.1_27 Q28.1_28
## 1 2 1 2 2 2 2 3 4
## 2 3 1 2 2 1 3 2 2
## 3 3 3 3 2 2 2 2 2
## 4 5 4 4 1 1 1 1 1
## 5 5 5 5 NA 5 5 5 5
## 6 3 3 3 3 2 2 2 2
## Q28.1_29 Q29_3 Q29_4 Q29_5 Q29_6 Q30 Q31
## 1 3 1 NA NA NA 1 Brown University
## 2 2 1 NA NA NA 1 Purdue University
## 3 2 1 NA NA NA 1 VIT University
## 4 4 1 NA NA NA 1 The University of Texas at Austin
## 5 5 1 NA NA NA 1 Purdue university
## 6 2 1 1 NA NA 2 Purdue University
## Q32 Q33 Q34 Q35.1_1 Q35.1_2 Q35.1_3 Q36_1_TEXT Q36_2_TEXT
## 1 USA 9 9 6 7 4 Emily Eruysal
## 2 USA 9 10 6 5 6 Narci Huang
## 3 India 9 10 4 4 4 Nishant Ghosh
## 4 US 10 9 4 4 4 Nitin Prasad
## 5 USA 9 10 7 7 7 xingyu zhou
## 6 USA 9 10 7 1 1 Chinyi Chen
## Q36_3_TEXT Q36_4_TEXT Q37 LocationLatitude
## 1 emily_eruysal@brown.edu 5183695911 1 41.82671
## 2 huang406@purdue.edu 812-345-0055 1 40.42490
## 3 nishant_bmw@yahoo.com 919962805157 1 28.46671
## 4 nitinprasad@utexas.edu 7379325966 1 30.33890
## 5 zhou326@purdue.edu 7654045157 1 40.42490
## 6 r99941001@gmail.com 7654096346 1 40.42490
## LocationLongitude LocationAccuracy know_cr1 know_cr2 know_cr3 know_cr4
## 1 -71.39770 -1 6 6 8 6
## 2 -86.91620 -1 7 5 8 6
## 3 77.03329 -1 6 6 6 6
## 4 -97.77070 -1 5 5 2 4
## 5 -86.91620 -1 7 7 7 7
## 6 -86.91620 -1 5 5 5 5
## know_cr5 know_cr6 know_shr_ng.in1 know_shr_ng.in2 know_shr_ng.in3
## 1 8 5 1 1 1
## 2 8 5 5 2 5
## 3 6 5 1 1 1
## 4 5 6 4 1 2
## 5 7 0 5 5 5
## 6 5 2 3 3 3
## know_shr_ng.in4 know_shr_ng.in5 know_shr_ng.out1 know_shr_ng.out2
## 1 1 1 1 1
## 2 5 1 5 2
## 3 1 1 1 1
## 4 1 1 4 1
## 5 5 5 5 5
## 6 3 3 3 3
## know_shr_ng.out3 know_shr_ng.out4 know_shr_ng.out5 altru_1 altru_2
## 1 1 1 1 6 8
## 2 5 5 1 4 4
## 3 1 1 1 6 6
## 4 2 1 1 7 7
## 5 5 5 5 7 7
## 6 3 3 3 5 4
## altru_3 rep_1 rep_2 rep_3 rel_1 rel_2 rel_3 rel_4 learn_1 learn_2
## 1 8 2 4 8 5 5 4 8 5 6
## 2 4 4 5 4 4 4 4 4 4 5
## 3 6 6 6 7 6 6 6 7 6 7
## 4 6 7 7 7 7 3 3 3 3 6
## 5 7 7 7 7 7 7 7 7 7 7
## 6 5 4 4 5 5 5 5 5 5 5
## learn_3 learn_4
## 1 5 5
## 2 6 4
## 3 6 6
## 4 5 5
## 5 7 7
## 6 5 5## Description of dibbs1[con_var]##
## Numeric
## mean median var sd valid.n
## know_cr1 5.99 6.0 1.33 1.15 71
## know_cr2 5.69 6.0 1.85 1.36 71
## know_cr3 4.92 5.0 3.96 1.99 71
## know_cr4 5.44 6.0 2.02 1.42 71
## know_cr5 5.35 6.0 3.37 1.84 71
## know_cr6 4.23 5.0 4.26 2.06 71
## know_shr_ng.in1 2.69 3.0 2.22 1.49 71
## know_shr_ng.in2 2.48 2.0 2.25 1.50 71
## know_shr_ng.in3 2.66 2.5 2.29 1.51 70
## know_shr_ng.in4 2.94 3.0 2.31 1.52 71
## know_shr_ng.in5 1.89 1.0 1.78 1.34 70
## know_shr_ng.out1 2.69 3.0 2.22 1.49 71
## know_shr_ng.out2 2.48 2.0 2.25 1.50 71
## know_shr_ng.out3 2.66 2.5 2.29 1.51 70
## know_shr_ng.out4 2.94 3.0 2.31 1.52 71
## know_shr_ng.out5 1.89 1.0 1.78 1.34 70
## altru_1 5.58 6.0 1.96 1.40 71
## altru_2 5.58 6.0 1.93 1.39 71
## altru_3 5.34 5.0 2.14 1.46 71
## rep_1 5.06 5.0 2.71 1.65 71
## rep_2 4.79 5.0 2.43 1.56 71
## rep_3 4.93 5.0 3.32 1.82 71
## rel_1 4.87 5.0 2.74 1.66 71
## rel_2 4.59 4.0 2.96 1.72 71
## rel_3 4.59 4.0 2.47 1.57 71
## rel_4 4.70 5.0 3.10 1.76 71
## learn_1 4.69 5.0 2.42 1.55 71
## learn_2 5.86 6.0 1.64 1.28 71
## learn_3 5.32 6.0 2.39 1.55 71
## learn_4 5.34 5.0 2.20 1.48 71
## Q7.1_1 5.96 6.0 1.39 1.18 57
## Q7.1_2 5.63 6.0 1.63 1.28 57
## Q7.1_3 4.75 5.0 3.08 1.76 57
## Q7.1_4 5.42 6.0 1.82 1.35 57
## Q7.1_5 5.14 5.0 2.62 1.62 57
## Q7.1_6 4.07 5.0 4.32 2.08 57
## Q8.1_1 6.07 6.0 1.15 1.07 14
## Q8.1_2 5.93 6.0 2.84 1.69 14
## Q8.1_3 5.57 6.5 7.49 2.74 14
## Q8.1_4 5.50 5.5 3.04 1.74 14
## Q8.1_5 6.21 8.0 5.87 2.42 14
## Q8.1_6 4.86 5.0 3.82 1.96 14
## Q10.1_1 2.64 3.0 2.27 1.51 59
## Q10.1_2 2.39 2.0 2.28 1.51 59
## Q10.1_3 2.60 2.5 2.35 1.53 58
## Q10.1_4 2.95 3.0 2.39 1.55 59
## Q10.1_6 1.67 1.0 1.49 1.22 58
## Q13.1_8 5.65 6.0 1.45 1.20 57
## Q13.1_11 5.60 6.0 1.35 1.16 57
## Q13.1_12 5.39 6.0 1.67 1.29 57
## Q13.1_13 5.16 5.0 2.31 1.52 57
## Q13.1_23 4.84 5.0 2.03 1.42 57
## Q13.1_25 4.93 5.0 2.67 1.64 57
## Q13.1_26 4.88 5.0 2.47 1.57 57
## Q13.1_27 4.61 5.0 2.56 1.60 57
## Q13.1_28 4.65 5.0 2.20 1.48 57
## Q13.1_29 4.74 5.0 2.48 1.58 57
## Q13.1_30 4.81 5.0 2.02 1.42 57
## Q13.1_31 5.98 6.0 0.98 0.99 57
## Q13.1_32 5.47 6.0 1.58 1.26 57
## Q13.1_33 5.40 5.0 1.49 1.22 57
## Q14.1_8 5.29 5.5 4.22 2.05 14
## Q14.1_11 5.50 6.0 4.58 2.14 14
## Q14.1_12 5.14 5.0 4.29 2.07 14
## Q14.1_13 4.64 5.0 4.40 2.10 14
## Q14.1_23 4.57 4.5 4.26 2.06 14
## Q14.1_25 4.93 4.5 6.38 2.53 14
## Q14.1_26 4.86 4.5 4.13 2.03 14
## Q14.1_27 4.50 4.0 4.88 2.21 14
## Q14.1_28 4.36 4.0 3.79 1.95 14
## Q14.1_29 4.57 4.0 5.96 2.44 14
## Q14.1_30 4.21 4.0 4.03 2.01 14
## Q14.1_31 5.36 6.0 4.25 2.06 14
## Q14.1_32 4.71 5.5 5.60 2.37 14
## Q14.1_33 5.07 5.0 5.30 2.30 14
## Q16.1_3 2.24 2.0 1.67 1.29 59
## Q16.1_6 2.44 2.0 2.22 1.49 59
## Q16.1_7 1.78 1.0 1.21 1.10 59
## Q16.1_8 2.36 2.0 2.06 1.44 59
## Q16.1_9 2.63 2.0 2.38 1.54 59
## Q20.1_33 3.28 4.0 2.74 1.66 57
## Q20.1_34 3.28 3.0 2.78 1.67 57
## Q20.1_35 3.33 3.0 2.58 1.61 57
## Q20.1_36 3.65 4.0 2.55 1.60 57
## Q20.1_37 2.89 3.0 2.35 1.53 57
## Q20.1_39 3.44 4.0 2.50 1.58 57
## Q20.1_40 3.60 4.0 2.78 1.67 57
## Q20.1_41 3.61 4.0 3.21 1.79 57
## Q21.1_33 4.36 4.0 7.17 2.68 14
## Q21.1_34 4.43 4.0 7.19 2.68 14
## Q21.1_35 5.50 5.5 6.88 2.62 14
## Q21.1_36 5.36 5.0 6.25 2.50 14
## Q21.1_37 4.07 3.0 8.53 2.92 14
## Q21.1_39 4.36 3.5 7.79 2.79 14
## Q21.1_40 4.07 3.0 7.15 2.67 14
## Q21.1_41 4.79 5.0 6.64 2.58 14
## Q22.1_10 1.46 1.0 0.87 0.93 59
## Q22.1_11 1.42 1.0 0.83 0.91 59
## Q22.1_12 2.41 2.0 2.14 1.46 59
## Q22.1_14 1.56 1.0 1.29 1.13 59
## Q22.1_16 1.54 1.0 1.18 1.09 59
## Q22.1_18 1.76 1.0 1.77 1.33 59
## Q22.1_19 2.25 1.0 2.19 1.48 59
## Q22.1_20 1.58 1.0 1.25 1.12 59
## Q23.1_10 2.00 1.5 2.18 1.48 12
## Q23.1_11 1.58 1.0 1.36 1.16 12
## Q23.1_12 3.08 3.5 1.90 1.38 12
## Q23.1_13 1.75 1.0 2.02 1.42 12
## Q23.1_14 2.42 2.5 2.08 1.44 12
## Q23.1_18 2.08 1.0 2.63 1.62 12
## Q23.1_19 2.08 1.5 2.08 1.44 12
## Q23.1_20 2.17 1.0 2.52 1.59 12
## Q23.1_23 1.58 1.0 1.90 1.38 12
## Q23.1_25 1.58 1.0 1.54 1.24 12
## Q23.1_26 1.50 1.0 1.55 1.24 12
## Q23.1_27 2.00 2.0 1.45 1.21 12
## Q23.1_28 2.17 1.5 1.97 1.40 12
## Q24.1_43 3.54 4.0 3.70 1.92 70
## Q24.1_44 3.54 4.0 4.28 2.07 70
## Q24.1_45 4.06 4.0 4.43 2.11 70
## Q24.1_46 3.93 4.0 4.27 2.07 70
## Q25.1_51 5.58 6.0 3.36 1.83 12
## Q25.1_52 5.92 6.5 3.17 1.78 12
## Q25.1_53 5.58 6.0 2.81 1.68 12
## Q25.1_54 5.42 6.0 2.99 1.73 12
## Q25.1_55 5.58 6.0 2.81 1.68 12
## Q25.1_56 5.42 6.0 2.63 1.62 12
## Q26.1_47 5.07 5.0 1.61 1.27 71
## Q26.1_48 4.99 5.0 1.59 1.26 71
## Q26.1_49 4.92 5.0 2.25 1.50 71
## Q26.1_50 4.46 4.0 2.45 1.57 71
## Q26.1_51 5.14 5.0 1.58 1.26 71
## Q26.1_52 4.77 4.0 1.72 1.31 71
## Q26.1_53 4.85 5.0 1.70 1.31 71
## Q26.1_54 4.92 5.0 1.76 1.33 71
## Q27.1_51 3.97 4.0 3.63 1.90 71
## Q27.1_52 3.99 4.0 3.30 1.82 71
## Q27.1_53 4.59 5.0 3.47 1.86 71
## Q27.1_54 4.25 4.0 3.65 1.91 71
## Q28.1_20 3.07 3.0 1.34 1.16 70
## Q28.1_22 2.70 3.0 1.63 1.28 70
## Q28.1_23 2.97 3.0 1.45 1.20 70
## Q28.1_24 2.84 3.0 1.09 1.04 70
## Q28.1_25 2.35 2.0 1.15 1.07 71
## Q28.1_26 2.33 2.0 1.27 1.13 70
## Q28.1_27 2.01 2.0 1.16 1.08 69
## Q28.1_28 2.30 2.0 1.23 1.11 70
## Q28.1_29 3.20 3.0 1.33 1.15 71## group: 1
## vars n mean sd se
## know_cr1 1 57 5.96 1.18 0.16
## know_cr2 2 57 5.63 1.28 0.17
## know_cr3 3 57 4.75 1.76 0.23
## know_cr4 4 57 5.42 1.35 0.18
## know_cr5 5 57 5.14 1.62 0.21
## know_cr6 6 57 4.07 2.08 0.28
## know_shr_ng.in1 7 57 2.63 1.45 0.19
## know_shr_ng.in2 8 57 2.47 1.51 0.20
## know_shr_ng.in3 9 56 2.59 1.46 0.20
## know_shr_ng.in4 10 57 2.89 1.46 0.19
## know_shr_ng.in5 11 56 1.98 1.38 0.18
## know_shr_ng.out1 12 57 2.63 1.45 0.19
## know_shr_ng.out2 13 57 2.47 1.51 0.20
## know_shr_ng.out3 14 56 2.59 1.46 0.20
## know_shr_ng.out4 15 57 2.89 1.46 0.19
## know_shr_ng.out5 16 56 1.98 1.38 0.18
## altru_1 17 57 5.65 1.20 0.16
## altru_2 18 57 5.60 1.16 0.15
## altru_3 19 57 5.39 1.29 0.17
## rep_1 20 57 5.16 1.52 0.20
## rep_2 21 57 4.84 1.42 0.19
## rep_3 22 57 4.93 1.64 0.22
## rel_1 23 57 4.88 1.57 0.21
## rel_2 24 57 4.61 1.60 0.21
## rel_3 25 57 4.65 1.48 0.20
## rel_4 26 57 4.74 1.58 0.21
## learn_1 27 57 4.81 1.42 0.19
## learn_2 28 57 5.98 0.99 0.13
## learn_3 29 57 5.47 1.26 0.17
## learn_4 30 57 5.40 1.22 0.16
## Q7.1_1 31 57 5.96 1.18 0.16
## Q7.1_2 32 57 5.63 1.28 0.17
## Q7.1_3 33 57 4.75 1.76 0.23
## Q7.1_4 34 57 5.42 1.35 0.18
## Q7.1_5 35 57 5.14 1.62 0.21
## Q7.1_6 36 57 4.07 2.08 0.28
## Q8.1_1 37 0 NaN NA NA
## Q8.1_2 38 0 NaN NA NA
## Q8.1_3 39 0 NaN NA NA
## Q8.1_4 40 0 NaN NA NA
## Q8.1_5 41 0 NaN NA NA
## Q8.1_6 42 0 NaN NA NA
## Q10.1_1 43 46 2.54 1.44 0.21
## Q10.1_2 44 46 2.35 1.51 0.22
## Q10.1_3 45 45 2.49 1.46 0.22
## Q10.1_4 46 46 2.87 1.47 0.22
## Q10.1_6 47 45 1.73 1.25 0.19
## Q13.1_8 48 57 5.65 1.20 0.16
## Q13.1_11 49 57 5.60 1.16 0.15
## Q13.1_12 50 57 5.39 1.29 0.17
## Q13.1_13 51 57 5.16 1.52 0.20
## Q13.1_23 52 57 4.84 1.42 0.19
## Q13.1_25 53 57 4.93 1.64 0.22
## Q13.1_26 54 57 4.88 1.57 0.21
## Q13.1_27 55 57 4.61 1.60 0.21
## Q13.1_28 56 57 4.65 1.48 0.20
## Q13.1_29 57 57 4.74 1.58 0.21
## Q13.1_30 58 57 4.81 1.42 0.19
## Q13.1_31 59 57 5.98 0.99 0.13
## Q13.1_32 60 57 5.47 1.26 0.17
## Q13.1_33 61 57 5.40 1.22 0.16
## Q14.1_8 62 0 NaN NA NA
## Q14.1_11 63 0 NaN NA NA
## Q14.1_12 64 0 NaN NA NA
## Q14.1_13 65 0 NaN NA NA
## Q14.1_23 66 0 NaN NA NA
## Q14.1_25 67 0 NaN NA NA
## Q14.1_26 68 0 NaN NA NA
## Q14.1_27 69 0 NaN NA NA
## Q14.1_28 70 0 NaN NA NA
## Q14.1_29 71 0 NaN NA NA
## Q14.1_30 72 0 NaN NA NA
## Q14.1_31 73 0 NaN NA NA
## Q14.1_32 74 0 NaN NA NA
## Q14.1_33 75 0 NaN NA NA
## Q16.1_3 76 46 2.28 1.24 0.18
## Q16.1_6 77 46 2.57 1.49 0.22
## Q16.1_7 78 46 1.93 1.18 0.17
## Q16.1_8 79 46 2.39 1.34 0.20
## Q16.1_9 80 46 2.70 1.49 0.22
## Q20.1_33 81 57 3.28 1.66 0.22
## Q20.1_34 82 57 3.28 1.67 0.22
## Q20.1_35 83 57 3.33 1.61 0.21
## Q20.1_36 84 57 3.65 1.60 0.21
## Q20.1_37 85 57 2.89 1.53 0.20
## Q20.1_39 86 57 3.44 1.58 0.21
## Q20.1_40 87 57 3.60 1.67 0.22
## Q20.1_41 88 57 3.61 1.79 0.24
## Q21.1_33 89 0 NaN NA NA
## Q21.1_34 90 0 NaN NA NA
## Q21.1_35 91 0 NaN NA NA
## Q21.1_36 92 0 NaN NA NA
## Q21.1_37 93 0 NaN NA NA
## Q21.1_39 94 0 NaN NA NA
## Q21.1_40 95 0 NaN NA NA
## Q21.1_41 96 0 NaN NA NA
## Q22.1_10 97 46 1.59 1.02 0.15
## Q22.1_11 98 46 1.54 1.00 0.15
## Q22.1_12 99 46 2.59 1.45 0.21
## Q22.1_14 100 46 1.70 1.24 0.18
## Q22.1_16 101 46 1.65 1.20 0.18
## Q22.1_18 102 46 1.87 1.38 0.20
## Q22.1_19 103 46 2.22 1.38 0.20
## Q22.1_20 104 46 1.74 1.22 0.18
## Q23.1_10 105 11 2.09 1.51 0.46
## Q23.1_11 106 11 1.64 1.21 0.36
## Q23.1_12 107 11 3.09 1.45 0.44
## Q23.1_13 108 11 1.82 1.47 0.44
## Q23.1_14 109 11 2.27 1.42 0.43
## Q23.1_18 110 11 2.18 1.66 0.50
## Q23.1_19 111 11 2.18 1.47 0.44
## Q23.1_20 112 11 2.27 1.62 0.49
## Q23.1_23 113 11 1.64 1.43 0.43
## Q23.1_25 114 11 1.64 1.29 0.39
## Q23.1_26 115 11 1.55 1.29 0.39
## Q23.1_27 116 11 2.09 1.22 0.37
## Q23.1_28 117 11 2.00 1.34 0.40
## Q24.1_43 118 56 3.38 1.98 0.26
## Q24.1_44 119 56 3.41 2.12 0.28
## Q24.1_45 120 56 3.95 2.16 0.29
## Q24.1_46 121 56 3.80 2.13 0.28
## Q25.1_51 122 11 5.55 1.92 0.58
## Q25.1_52 123 11 5.91 1.87 0.56
## Q25.1_53 124 11 5.55 1.75 0.53
## Q25.1_54 125 11 5.36 1.80 0.54
## Q25.1_55 126 11 5.45 1.69 0.51
## Q25.1_56 127 11 5.27 1.62 0.49
## Q26.1_47 128 57 5.09 1.31 0.17
## Q26.1_48 129 57 4.96 1.34 0.18
## Q26.1_49 130 57 4.86 1.59 0.21
## Q26.1_50 131 57 4.46 1.62 0.21
## Q26.1_51 132 57 5.12 1.31 0.17
## Q26.1_52 133 57 4.84 1.35 0.18
## Q26.1_53 134 57 4.91 1.30 0.17
## Q26.1_54 135 57 4.98 1.34 0.18
## Q27.1_51 136 57 4.02 1.95 0.26
## Q27.1_52 137 57 4.04 1.83 0.24
## Q27.1_53 138 57 4.67 1.91 0.25
## Q27.1_54 139 57 4.37 1.97 0.26
## Q28.1_20 140 56 3.20 1.07 0.14
## Q28.1_22 141 56 2.93 1.25 0.17
## Q28.1_23 142 56 3.11 1.15 0.15
## Q28.1_24 143 56 2.89 1.00 0.13
## Q28.1_25 144 57 2.40 1.05 0.14
## Q28.1_26 145 56 2.34 1.15 0.15
## Q28.1_27 146 55 1.96 1.10 0.15
## Q28.1_28 147 56 2.29 1.14 0.15
## Q28.1_29 148 57 3.32 1.10 0.15
## --------------------------------------------------------
## group: 2
## vars n mean sd se
## know_cr1 1 14 6.07 1.07 0.29
## know_cr2 2 14 5.93 1.69 0.45
## know_cr3 3 14 5.57 2.74 0.73
## know_cr4 4 14 5.50 1.74 0.47
## know_cr5 5 14 6.21 2.42 0.65
## know_cr6 6 14 4.86 1.96 0.52
## know_shr_ng.in1 7 14 2.93 1.69 0.45
## know_shr_ng.in2 8 14 2.50 1.51 0.40
## know_shr_ng.in3 9 14 2.93 1.73 0.46
## know_shr_ng.in4 10 14 3.14 1.79 0.48
## know_shr_ng.in5 11 14 1.50 1.09 0.29
## know_shr_ng.out1 12 14 2.93 1.69 0.45
## know_shr_ng.out2 13 14 2.50 1.51 0.40
## know_shr_ng.out3 14 14 2.93 1.73 0.46
## know_shr_ng.out4 15 14 3.14 1.79 0.48
## know_shr_ng.out5 16 14 1.50 1.09 0.29
## altru_1 17 14 5.29 2.05 0.55
## altru_2 18 14 5.50 2.14 0.57
## altru_3 19 14 5.14 2.07 0.55
## rep_1 20 14 4.64 2.10 0.56
## rep_2 21 14 4.57 2.06 0.55
## rep_3 22 14 4.93 2.53 0.68
## rel_1 23 14 4.86 2.03 0.54
## rel_2 24 14 4.50 2.21 0.59
## rel_3 25 14 4.36 1.95 0.52
## rel_4 26 14 4.57 2.44 0.65
## learn_1 27 14 4.21 2.01 0.54
## learn_2 28 14 5.36 2.06 0.55
## learn_3 29 14 4.71 2.37 0.63
## learn_4 30 14 5.07 2.30 0.62
## Q7.1_1 31 0 NaN NA NA
## Q7.1_2 32 0 NaN NA NA
## Q7.1_3 33 0 NaN NA NA
## Q7.1_4 34 0 NaN NA NA
## Q7.1_5 35 0 NaN NA NA
## Q7.1_6 36 0 NaN NA NA
## Q8.1_1 37 14 6.07 1.07 0.29
## Q8.1_2 38 14 5.93 1.69 0.45
## Q8.1_3 39 14 5.57 2.74 0.73
## Q8.1_4 40 14 5.50 1.74 0.47
## Q8.1_5 41 14 6.21 2.42 0.65
## Q8.1_6 42 14 4.86 1.96 0.52
## Q10.1_1 43 13 3.00 1.73 0.48
## Q10.1_2 44 13 2.54 1.56 0.43
## Q10.1_3 45 13 3.00 1.78 0.49
## Q10.1_4 46 13 3.23 1.83 0.51
## Q10.1_6 47 13 1.46 1.13 0.31
## Q13.1_8 48 0 NaN NA NA
## Q13.1_11 49 0 NaN NA NA
## Q13.1_12 50 0 NaN NA NA
## Q13.1_13 51 0 NaN NA NA
## Q13.1_23 52 0 NaN NA NA
## Q13.1_25 53 0 NaN NA NA
## Q13.1_26 54 0 NaN NA NA
## Q13.1_27 55 0 NaN NA NA
## Q13.1_28 56 0 NaN NA NA
## Q13.1_29 57 0 NaN NA NA
## Q13.1_30 58 0 NaN NA NA
## Q13.1_31 59 0 NaN NA NA
## Q13.1_32 60 0 NaN NA NA
## Q13.1_33 61 0 NaN NA NA
## Q14.1_8 62 14 5.29 2.05 0.55
## Q14.1_11 63 14 5.50 2.14 0.57
## Q14.1_12 64 14 5.14 2.07 0.55
## Q14.1_13 65 14 4.64 2.10 0.56
## Q14.1_23 66 14 4.57 2.06 0.55
## Q14.1_25 67 14 4.93 2.53 0.68
## Q14.1_26 68 14 4.86 2.03 0.54
## Q14.1_27 69 14 4.50 2.21 0.59
## Q14.1_28 70 14 4.36 1.95 0.52
## Q14.1_29 71 14 4.57 2.44 0.65
## Q14.1_30 72 14 4.21 2.01 0.54
## Q14.1_31 73 14 5.36 2.06 0.55
## Q14.1_32 74 14 4.71 2.37 0.63
## Q14.1_33 75 14 5.07 2.30 0.62
## Q16.1_3 76 13 2.08 1.50 0.42
## Q16.1_6 77 13 2.00 1.47 0.41
## Q16.1_7 78 13 1.23 0.44 0.12
## Q16.1_8 79 13 2.23 1.79 0.50
## Q16.1_9 80 13 2.38 1.76 0.49
## Q20.1_33 81 0 NaN NA NA
## Q20.1_34 82 0 NaN NA NA
## Q20.1_35 83 0 NaN NA NA
## Q20.1_36 84 0 NaN NA NA
## Q20.1_37 85 0 NaN NA NA
## Q20.1_39 86 0 NaN NA NA
## Q20.1_40 87 0 NaN NA NA
## Q20.1_41 88 0 NaN NA NA
## Q21.1_33 89 14 4.36 2.68 0.72
## Q21.1_34 90 14 4.43 2.68 0.72
## Q21.1_35 91 14 5.50 2.62 0.70
## Q21.1_36 92 14 5.36 2.50 0.67
## Q21.1_37 93 14 4.07 2.92 0.78
## Q21.1_39 94 14 4.36 2.79 0.75
## Q21.1_40 95 14 4.07 2.67 0.71
## Q21.1_41 96 14 4.79 2.58 0.69
## Q22.1_10 97 13 1.00 0.00 0.00
## Q22.1_11 98 13 1.00 0.00 0.00
## Q22.1_12 99 13 1.77 1.36 0.38
## Q22.1_14 100 13 1.08 0.28 0.08
## Q22.1_16 101 13 1.15 0.38 0.10
## Q22.1_18 102 13 1.38 1.12 0.31
## Q22.1_19 103 13 2.38 1.85 0.51
## Q22.1_20 104 13 1.00 0.00 0.00
## Q23.1_10 105 1 1.00 NA NA
## Q23.1_11 106 1 1.00 NA NA
## Q23.1_12 107 1 3.00 NA NA
## Q23.1_13 108 1 1.00 NA NA
## Q23.1_14 109 1 4.00 NA NA
## Q23.1_18 110 1 1.00 NA NA
## Q23.1_19 111 1 1.00 NA NA
## Q23.1_20 112 1 1.00 NA NA
## Q23.1_23 113 1 1.00 NA NA
## Q23.1_25 114 1 1.00 NA NA
## Q23.1_26 115 1 1.00 NA NA
## Q23.1_27 116 1 1.00 NA NA
## Q23.1_28 117 1 4.00 NA NA
## Q24.1_43 118 14 4.21 1.58 0.42
## Q24.1_44 119 14 4.07 1.82 0.49
## Q24.1_45 120 14 4.50 1.87 0.50
## Q24.1_46 121 14 4.43 1.79 0.48
## Q25.1_51 122 1 6.00 NA NA
## Q25.1_52 123 1 6.00 NA NA
## Q25.1_53 124 1 6.00 NA NA
## Q25.1_54 125 1 6.00 NA NA
## Q25.1_55 126 1 7.00 NA NA
## Q25.1_56 127 1 7.00 NA NA
## Q26.1_47 128 14 5.00 1.11 0.30
## Q26.1_48 129 14 5.07 0.92 0.25
## Q26.1_49 130 14 5.14 1.10 0.29
## Q26.1_50 131 14 4.50 1.40 0.37
## Q26.1_51 132 14 5.21 1.05 0.28
## Q26.1_52 133 14 4.50 1.16 0.31
## Q26.1_53 134 14 4.57 1.34 0.36
## Q26.1_54 135 14 4.64 1.28 0.34
## Q27.1_51 136 14 3.79 1.76 0.47
## Q27.1_52 137 14 3.79 1.81 0.48
## Q27.1_53 138 14 4.29 1.68 0.45
## Q27.1_54 139 14 3.79 1.63 0.43
## Q28.1_20 140 14 2.57 1.40 0.37
## Q28.1_22 141 14 1.79 0.97 0.26
## Q28.1_23 142 14 2.43 1.28 0.34
## Q28.1_24 143 14 2.64 1.22 0.32
## Q28.1_25 144 14 2.14 1.17 0.31
## Q28.1_26 145 14 2.29 1.07 0.29
## Q28.1_27 146 14 2.21 0.97 0.26
## Q28.1_28 147 14 2.36 1.01 0.27
## Q28.1_29 148 14 2.71 1.27 0.34## group: 1
## vars n mean sd se
## know_cr1 1 12 6.25 0.87 0.25
## know_cr2 2 12 5.67 1.15 0.33
## know_cr3 3 12 4.92 2.02 0.58
## know_cr4 4 12 5.67 0.98 0.28
## know_cr5 5 12 6.25 1.14 0.33
## know_cr6 6 12 3.92 2.15 0.62
## know_shr_ng.in1 7 12 2.92 1.44 0.42
## know_shr_ng.in2 8 12 2.92 1.44 0.42
## know_shr_ng.in3 9 12 2.92 1.44 0.42
## know_shr_ng.in4 10 12 2.92 1.44 0.42
## know_shr_ng.in5 11 12 2.92 1.44 0.42
## know_shr_ng.out1 12 12 2.92 1.44 0.42
## know_shr_ng.out2 13 12 2.92 1.44 0.42
## know_shr_ng.out3 14 12 2.92 1.44 0.42
## know_shr_ng.out4 15 12 2.92 1.44 0.42
## know_shr_ng.out5 16 12 2.92 1.44 0.42
## altru_1 17 12 5.67 1.07 0.31
## altru_2 18 12 5.83 1.03 0.30
## altru_3 19 12 4.92 1.51 0.43
## rep_1 20 12 5.33 1.23 0.36
## rep_2 21 12 5.00 1.28 0.37
## rep_3 22 12 5.17 1.19 0.34
## rel_1 23 12 5.17 0.83 0.24
## rel_2 24 12 3.92 1.62 0.47
## rel_3 25 12 4.58 1.38 0.40
## rel_4 26 12 4.42 1.56 0.45
## learn_1 27 12 4.67 1.30 0.38
## learn_2 28 12 6.08 1.00 0.29
## learn_3 29 12 6.25 0.75 0.22
## learn_4 30 12 5.75 1.42 0.41
## Q7.1_1 31 11 6.36 0.81 0.24
## Q7.1_2 32 11 5.64 1.21 0.36
## Q7.1_3 33 11 4.73 2.00 0.60
## Q7.1_4 34 11 5.82 0.87 0.26
## Q7.1_5 35 11 6.09 1.04 0.31
## Q7.1_6 36 11 3.82 2.23 0.67
## Q8.1_1 37 1 5.00 NA NA
## Q8.1_2 38 1 6.00 NA NA
## Q8.1_3 39 1 7.00 NA NA
## Q8.1_4 40 1 4.00 NA NA
## Q8.1_5 41 1 8.00 NA NA
## Q8.1_6 42 1 5.00 NA NA
## Q10.1_1 43 0 NaN NA NA
## Q10.1_2 44 0 NaN NA NA
## Q10.1_3 45 0 NaN NA NA
## Q10.1_4 46 0 NaN NA NA
## Q10.1_6 47 0 NaN NA NA
## Q13.1_8 48 11 5.64 1.12 0.34
## Q13.1_11 49 11 5.73 1.01 0.30
## Q13.1_12 50 11 4.91 1.58 0.48
## Q13.1_13 51 11 5.36 1.29 0.39
## Q13.1_23 52 11 5.00 1.34 0.40
## Q13.1_25 53 11 5.18 1.25 0.38
## Q13.1_26 54 11 5.18 0.87 0.26
## Q13.1_27 55 11 4.09 1.58 0.48
## Q13.1_28 56 11 4.73 1.35 0.41
## Q13.1_29 57 11 4.36 1.63 0.49
## Q13.1_30 58 11 4.64 1.36 0.41
## Q13.1_31 59 11 6.09 1.04 0.31
## Q13.1_32 60 11 6.27 0.79 0.24
## Q13.1_33 61 11 6.09 0.83 0.25
## Q14.1_8 62 1 6.00 NA NA
## Q14.1_11 63 1 7.00 NA NA
## Q14.1_12 64 1 5.00 NA NA
## Q14.1_13 65 1 5.00 NA NA
## Q14.1_23 66 1 5.00 NA NA
## Q14.1_25 67 1 5.00 NA NA
## Q14.1_26 68 1 5.00 NA NA
## Q14.1_27 69 1 2.00 NA NA
## Q14.1_28 70 1 3.00 NA NA
## Q14.1_29 71 1 5.00 NA NA
## Q14.1_30 72 1 5.00 NA NA
## Q14.1_31 73 1 6.00 NA NA
## Q14.1_32 74 1 6.00 NA NA
## Q14.1_33 75 1 2.00 NA NA
## Q16.1_3 76 0 NaN NA NA
## Q16.1_6 77 0 NaN NA NA
## Q16.1_7 78 0 NaN NA NA
## Q16.1_8 79 0 NaN NA NA
## Q16.1_9 80 0 NaN NA NA
## Q20.1_33 81 11 2.91 1.51 0.46
## Q20.1_34 82 11 3.27 1.56 0.47
## Q20.1_35 83 11 3.27 1.68 0.51
## Q20.1_36 84 11 3.55 1.81 0.55
## Q20.1_37 85 11 2.36 1.43 0.43
## Q20.1_39 86 11 3.00 1.73 0.52
## Q20.1_40 87 11 3.64 1.86 0.56
## Q20.1_41 88 11 3.55 2.11 0.64
## Q21.1_33 89 1 1.00 NA NA
## Q21.1_34 90 1 1.00 NA NA
## Q21.1_35 91 1 8.00 NA NA
## Q21.1_36 92 1 1.00 NA NA
## Q21.1_37 93 1 1.00 NA NA
## Q21.1_39 94 1 1.00 NA NA
## Q21.1_40 95 1 1.00 NA NA
## Q21.1_41 96 1 1.00 NA NA
## Q22.1_10 97 0 NaN NA NA
## Q22.1_11 98 0 NaN NA NA
## Q22.1_12 99 0 NaN NA NA
## Q22.1_14 100 0 NaN NA NA
## Q22.1_16 101 0 NaN NA NA
## Q22.1_18 102 0 NaN NA NA
## Q22.1_19 103 0 NaN NA NA
## Q22.1_20 104 0 NaN NA NA
## Q23.1_10 105 12 2.00 1.48 0.43
## Q23.1_11 106 12 1.58 1.16 0.34
## Q23.1_12 107 12 3.08 1.38 0.40
## Q23.1_13 108 12 1.75 1.42 0.41
## Q23.1_14 109 12 2.42 1.44 0.42
## Q23.1_18 110 12 2.08 1.62 0.47
## Q23.1_19 111 12 2.08 1.44 0.42
## Q23.1_20 112 12 2.17 1.59 0.46
## Q23.1_23 113 12 1.58 1.38 0.40
## Q23.1_25 114 12 1.58 1.24 0.36
## Q23.1_26 115 12 1.50 1.24 0.36
## Q23.1_27 116 12 2.00 1.21 0.35
## Q23.1_28 117 12 2.17 1.40 0.41
## Q24.1_43 118 12 4.08 1.88 0.54
## Q24.1_44 119 12 3.75 1.91 0.55
## Q24.1_45 120 12 3.83 2.21 0.64
## Q24.1_46 121 12 4.83 2.04 0.59
## Q25.1_51 122 12 5.58 1.83 0.53
## Q25.1_52 123 12 5.92 1.78 0.51
## Q25.1_53 124 12 5.58 1.68 0.48
## Q25.1_54 125 12 5.42 1.73 0.50
## Q25.1_55 126 12 5.58 1.68 0.48
## Q25.1_56 127 12 5.42 1.62 0.47
## Q26.1_47 128 12 5.33 1.72 0.50
## Q26.1_48 129 12 5.17 1.64 0.47
## Q26.1_49 130 12 5.42 1.73 0.50
## Q26.1_50 131 12 4.00 1.65 0.48
## Q26.1_51 132 12 5.50 1.68 0.48
## Q26.1_52 133 12 4.67 1.67 0.48
## Q26.1_53 134 12 4.42 1.51 0.43
## Q26.1_54 135 12 4.58 1.51 0.43
## Q27.1_51 136 12 3.58 2.68 0.77
## Q27.1_52 137 12 3.50 2.32 0.67
## Q27.1_53 138 12 4.25 2.26 0.65
## Q27.1_54 139 12 3.75 2.14 0.62
## Q28.1_20 140 12 2.83 1.19 0.34
## Q28.1_22 141 12 2.58 1.51 0.43
## Q28.1_23 142 12 2.58 1.24 0.36
## Q28.1_24 143 12 2.67 1.30 0.38
## Q28.1_25 144 12 1.92 0.79 0.23
## Q28.1_26 145 12 2.25 1.54 0.45
## Q28.1_27 146 12 1.33 0.65 0.19
## Q28.1_28 147 12 1.92 1.00 0.29
## Q28.1_29 148 12 3.25 1.54 0.45
## --------------------------------------------------------
## group: 2
## vars n mean sd se
## know_cr1 1 59 5.93 1.20 0.16
## know_cr2 2 59 5.69 1.41 0.18
## know_cr3 3 59 4.92 2.00 0.26
## know_cr4 4 59 5.39 1.50 0.19
## know_cr5 5 59 5.17 1.90 0.25
## know_cr6 6 59 4.29 2.06 0.27
## know_shr_ng.in1 7 59 2.64 1.51 0.20
## know_shr_ng.in2 8 59 2.39 1.51 0.20
## know_shr_ng.in3 9 58 2.60 1.53 0.20
## know_shr_ng.in4 10 59 2.95 1.55 0.20
## know_shr_ng.in5 11 58 1.67 1.22 0.16
## know_shr_ng.out1 12 59 2.64 1.51 0.20
## know_shr_ng.out2 13 59 2.39 1.51 0.20
## know_shr_ng.out3 14 58 2.60 1.53 0.20
## know_shr_ng.out4 15 59 2.95 1.55 0.20
## know_shr_ng.out5 16 58 1.67 1.22 0.16
## altru_1 17 59 5.56 1.47 0.19
## altru_2 18 59 5.53 1.45 0.19
## altru_3 19 59 5.42 1.45 0.19
## rep_1 20 59 5.00 1.72 0.22
## rep_2 21 59 4.75 1.61 0.21
## rep_3 22 59 4.88 1.93 0.25
## rel_1 23 59 4.81 1.78 0.23
## rel_2 24 59 4.73 1.72 0.22
## rel_3 25 59 4.59 1.62 0.21
## rel_4 26 59 4.76 1.80 0.23
## learn_1 27 59 4.69 1.61 0.21
## learn_2 28 59 5.81 1.33 0.17
## learn_3 29 59 5.14 1.60 0.21
## learn_4 30 59 5.25 1.49 0.19
## Q7.1_1 31 46 5.87 1.24 0.18
## Q7.1_2 32 46 5.63 1.31 0.19
## Q7.1_3 33 46 4.76 1.72 0.25
## Q7.1_4 34 46 5.33 1.43 0.21
## Q7.1_5 35 46 4.91 1.66 0.24
## Q7.1_6 36 46 4.13 2.06 0.30
## Q8.1_1 37 13 6.15 1.07 0.30
## Q8.1_2 38 13 5.92 1.75 0.49
## Q8.1_3 39 13 5.46 2.82 0.78
## Q8.1_4 40 13 5.62 1.76 0.49
## Q8.1_5 41 13 6.08 2.47 0.68
## Q8.1_6 42 13 4.85 2.03 0.56
## Q10.1_1 43 59 2.64 1.51 0.20
## Q10.1_2 44 59 2.39 1.51 0.20
## Q10.1_3 45 58 2.60 1.53 0.20
## Q10.1_4 46 59 2.95 1.55 0.20
## Q10.1_6 47 58 1.67 1.22 0.16
## Q13.1_8 48 46 5.65 1.23 0.18
## Q13.1_11 49 46 5.57 1.20 0.18
## Q13.1_12 50 46 5.50 1.21 0.18
## Q13.1_13 51 46 5.11 1.58 0.23
## Q13.1_23 52 46 4.80 1.45 0.21
## Q13.1_25 53 46 4.87 1.72 0.25
## Q13.1_26 54 46 4.80 1.69 0.25
## Q13.1_27 55 46 4.74 1.60 0.24
## Q13.1_28 56 46 4.63 1.53 0.22
## Q13.1_29 57 46 4.83 1.57 0.23
## Q13.1_30 58 46 4.85 1.44 0.21
## Q13.1_31 59 46 5.96 0.99 0.15
## Q13.1_32 60 46 5.28 1.28 0.19
## Q13.1_33 61 46 5.24 1.25 0.18
## Q14.1_8 62 13 5.23 2.13 0.59
## Q14.1_11 63 13 5.38 2.18 0.60
## Q14.1_12 64 13 5.15 2.15 0.60
## Q14.1_13 65 13 4.62 2.18 0.60
## Q14.1_23 66 13 4.54 2.15 0.60
## Q14.1_25 67 13 4.92 2.63 0.73
## Q14.1_26 68 13 4.85 2.12 0.59
## Q14.1_27 69 13 4.69 2.18 0.60
## Q14.1_28 70 13 4.46 1.98 0.55
## Q14.1_29 71 13 4.54 2.54 0.70
## Q14.1_30 72 13 4.15 2.08 0.58
## Q14.1_31 73 13 5.31 2.14 0.59
## Q14.1_32 74 13 4.62 2.43 0.67
## Q14.1_33 75 13 5.31 2.21 0.61
## Q16.1_3 76 59 2.24 1.29 0.17
## Q16.1_6 77 59 2.44 1.49 0.19
## Q16.1_7 78 59 1.78 1.10 0.14
## Q16.1_8 79 59 2.36 1.44 0.19
## Q16.1_9 80 59 2.63 1.54 0.20
## Q20.1_33 81 46 3.37 1.69 0.25
## Q20.1_34 82 46 3.28 1.71 0.25
## Q20.1_35 83 46 3.35 1.61 0.24
## Q20.1_36 84 46 3.67 1.56 0.23
## Q20.1_37 85 46 3.02 1.54 0.23
## Q20.1_39 86 46 3.54 1.54 0.23
## Q20.1_40 87 46 3.59 1.64 0.24
## Q20.1_41 88 46 3.63 1.73 0.26
## Q21.1_33 89 13 4.62 2.60 0.72
## Q21.1_34 90 13 4.69 2.59 0.72
## Q21.1_35 91 13 5.31 2.63 0.73
## Q21.1_36 92 13 5.69 2.25 0.62
## Q21.1_37 93 13 4.31 2.90 0.80
## Q21.1_39 94 13 4.62 2.72 0.76
## Q21.1_40 95 13 4.31 2.63 0.73
## Q21.1_41 96 13 5.08 2.43 0.67
## Q22.1_10 97 59 1.46 0.93 0.12
## Q22.1_11 98 59 1.42 0.91 0.12
## Q22.1_12 99 59 2.41 1.46 0.19
## Q22.1_14 100 59 1.56 1.13 0.15
## Q22.1_16 101 59 1.54 1.09 0.14
## Q22.1_18 102 59 1.76 1.33 0.17
## Q22.1_19 103 59 2.25 1.48 0.19
## Q22.1_20 104 59 1.58 1.12 0.15
## Q23.1_10 105 0 NaN NA NA
## Q23.1_11 106 0 NaN NA NA
## Q23.1_12 107 0 NaN NA NA
## Q23.1_13 108 0 NaN NA NA
## Q23.1_14 109 0 NaN NA NA
## Q23.1_18 110 0 NaN NA NA
## Q23.1_19 111 0 NaN NA NA
## Q23.1_20 112 0 NaN NA NA
## Q23.1_23 113 0 NaN NA NA
## Q23.1_25 114 0 NaN NA NA
## Q23.1_26 115 0 NaN NA NA
## Q23.1_27 116 0 NaN NA NA
## Q23.1_28 117 0 NaN NA NA
## Q24.1_43 118 58 3.43 1.93 0.25
## Q24.1_44 119 58 3.50 2.11 0.28
## Q24.1_45 120 58 4.10 2.10 0.28
## Q24.1_46 121 58 3.74 2.04 0.27
## Q25.1_51 122 0 NaN NA NA
## Q25.1_52 123 0 NaN NA NA
## Q25.1_53 124 0 NaN NA NA
## Q25.1_54 125 0 NaN NA NA
## Q25.1_55 126 0 NaN NA NA
## Q25.1_56 127 0 NaN NA NA
## Q26.1_47 128 59 5.02 1.17 0.15
## Q26.1_48 129 59 4.95 1.18 0.15
## Q26.1_49 130 59 4.81 1.44 0.19
## Q26.1_50 131 59 4.56 1.55 0.20
## Q26.1_51 132 59 5.07 1.16 0.15
## Q26.1_52 133 59 4.80 1.24 0.16
## Q26.1_53 134 59 4.93 1.26 0.16
## Q26.1_54 135 59 4.98 1.29 0.17
## Q27.1_51 136 59 4.05 1.73 0.22
## Q27.1_52 137 59 4.08 1.70 0.22
## Q27.1_53 138 59 4.66 1.79 0.23
## Q27.1_54 139 59 4.36 1.86 0.24
## Q28.1_20 140 58 3.12 1.16 0.15
## Q28.1_22 141 58 2.72 1.24 0.16
## Q28.1_23 142 58 3.05 1.19 0.16
## Q28.1_24 143 58 2.88 0.99 0.13
## Q28.1_25 144 59 2.44 1.10 0.14
## Q28.1_26 145 58 2.34 1.04 0.14
## Q28.1_27 146 57 2.16 1.10 0.15
## Q28.1_28 147 58 2.38 1.12 0.15
## Q28.1_29 148 59 3.19 1.07 0.14
## know_cr1 know_cr2 know_cr3 know_cr4 know_cr5
## know_cr1 1.00000000 0.51724476 0.2982919 0.6315757 0.33975961
## know_cr2 0.51724476 1.00000000 0.5975725 0.6406475 0.57675275
## know_cr3 0.29829185 0.59757248 1.0000000 0.6542156 0.75821183
## know_cr4 0.63157570 0.64064747 0.6542156 1.0000000 0.55299737
## know_cr5 0.33975961 0.57675275 0.7582118 0.5529974 1.00000000
## know_cr6 0.06138671 0.04562476 -0.1690607 -0.0486036 -0.08148923
## know_cr6
## know_cr1 0.06138671
## know_cr2 0.04562476
## know_cr3 -0.16906071
## know_cr4 -0.04860360
## know_cr5 -0.08148923
## know_cr6 1.00000000## know_cr1 know_cr2 know_cr3 know_cr4 know_cr5
## know_cr1 1.00000000 0.63157847 0.3406982 0.6939953 0.4419314
## know_cr2 0.63157847 1.00000000 0.5963846 0.5790795 0.5177799
## know_cr3 0.34069821 0.59638460 1.0000000 0.6326842 0.6530370
## know_cr4 0.69399532 0.57907946 0.6326842 1.0000000 0.5283135
## know_cr5 0.44193142 0.51777991 0.6530370 0.5283135 1.0000000
## know_cr6 -0.04269373 -0.07760454 -0.3575195 -0.1827727 -0.2577261
## know_cr6
## know_cr1 -0.04269373
## know_cr2 -0.07760454
## know_cr3 -0.35751949
## know_cr4 -0.18277271
## know_cr5 -0.25772609
## know_cr6 1.00000000## know_cr1 know_cr2 know_cr3 know_cr4 know_cr5 know_cr6
## know_cr1 1.00000000 0.1308127 0.1947839 0.4323960 0.05289054 0.5558506
## know_cr2 0.13081274 1.0000000 0.5930303 0.7985830 0.70081534 0.4167639
## know_cr3 0.19478388 0.5930303 1.0000000 0.7253887 0.93082979 0.2463199
## know_cr4 0.43239596 0.7985830 0.7253887 1.0000000 0.64640539 0.4061939
## know_cr5 0.05289054 0.7008153 0.9308298 0.6464054 1.00000000 0.2828762
## know_cr6 0.55585062 0.4167639 0.2463199 0.4061939 0.28287616 1.0000000## group.out1 group.out2 group.out3 group.out4 group.out5
## group.in1 0.4911704 0.28317288 0.35902456 0.4738435 0.5547955
## group.in2 0.1809367 0.52277330 0.62678317 0.2096570 0.4080011
## group.in3 -0.1932245 0.44382944 0.52209256 -0.1847136 0.2091405
## group.in4 0.5001827 -0.06835207 -0.01560976 0.4738435 0.3170260
## group.in5 0.0000000 0.41702883 0.50000000 0.0000000 0.3254723## group.in1 group.in2 group.in3 group.in4 group.in5
## group.in1 1.0000000 0.7256597 0.6583789 0.7977240 0.6800000
## group.in2 0.7256597 1.0000000 0.6259009 0.4237559 0.5994580
## group.in3 0.6583789 0.6259009 1.0000000 0.3605774 0.8757078
## group.in4 0.7977240 0.4237559 0.3605774 1.0000000 0.6153871
## group.in5 0.6800000 0.5994580 0.8757078 0.6153871 1.0000000## group.out1 group.out2 group.out3 group.out4 group.out5
## group.out1 1.00000000 0.06019293 0.06415003 0.9736558 0.6952726
## group.out2 0.06019293 1.00000000 0.93831486 0.1918054 0.3529014
## group.out3 0.06415003 0.93831486 1.00000000 0.1533110 0.4556612
## group.out4 0.97365584 0.19180536 0.15331104 1.0000000 0.5987819
## group.out5 0.69527258 0.35290144 0.45566119 0.5987819 1.0000000## Q10.1_1 Q10.1_2 Q10.1_3 Q10.1_4 Q10.1_6
## Q10.1_1 1.0000000 0.6464434 0.7110474 0.7971855 0.4248342
## Q10.1_2 0.6464434 1.0000000 0.8312322 0.6881690 0.5581699
## Q10.1_3 0.7110474 0.8312322 1.0000000 0.8178698 0.4022659
## Q10.1_4 0.7971855 0.6881690 0.8178698 1.0000000 0.3027578
## Q10.1_6 0.4248342 0.5581699 0.4022659 0.3027578 1.0000000## altru_1 altru_2 altru_3 rep_1 rep_2 rep_3
## altru_1 1.0000000 0.6479149 0.6213283 0.6732834 0.5543790 0.5868138
## altru_2 0.6479149 1.0000000 0.7171825 0.3350334 0.3012027 0.3487906
## altru_3 0.6213283 0.7171825 1.0000000 0.3180908 0.3577010 0.3785531
## rep_1 0.6732834 0.3350334 0.3180908 1.0000000 0.6397124 0.6485879
## rep_2 0.5543790 0.3012027 0.3577010 0.6397124 1.0000000 0.8046537
## rep_3 0.5868138 0.3487906 0.3785531 0.6485879 0.8046537 1.0000000
## rel_1 0.6111319 0.5225393 0.4837978 0.5791347 0.6043930 0.6738544
## rel_2 0.5083883 0.3508705 0.4188349 0.4470259 0.5164731 0.6056427
## rel_3 0.4912153 0.3641771 0.3960408 0.5165307 0.5998968 0.5926875
## rel_4 0.5223508 0.4327822 0.4665390 0.4692696 0.5814265 0.7370306
## learn_1 0.5819594 0.4210197 0.4925586 0.5036152 0.6097228 0.6373723
## learn_2 0.6439107 0.6406212 0.6133252 0.5395328 0.3504383 0.3999072
## learn_3 0.3805127 0.3766731 0.3232445 0.4189428 0.4259929 0.4285986
## learn_4 0.5237730 0.5345590 0.5260100 0.4602211 0.4643645 0.4687317
## rel_1 rel_2 rel_3 rel_4 learn_1 learn_2
## altru_1 0.6111319 0.5083883 0.4912153 0.5223508 0.5819594 0.6439107
## altru_2 0.5225393 0.3508705 0.3641771 0.4327822 0.4210197 0.6406212
## altru_3 0.4837978 0.4188349 0.3960408 0.4665390 0.4925586 0.6133252
## rep_1 0.5791347 0.4470259 0.5165307 0.4692696 0.5036152 0.5395328
## rep_2 0.6043930 0.5164731 0.5998968 0.5814265 0.6097228 0.3504383
## rep_3 0.6738544 0.6056427 0.5926875 0.7370306 0.6373723 0.3999072
## rel_1 1.0000000 0.6286301 0.6436918 0.5851527 0.7116336 0.5242452
## rel_2 0.6286301 1.0000000 0.8825801 0.8230697 0.7372203 0.4148415
## rel_3 0.6436918 0.8825801 1.0000000 0.7660623 0.7654592 0.4466464
## rel_4 0.5851527 0.8230697 0.7660623 1.0000000 0.7962564 0.4380466
## learn_1 0.7116336 0.7372203 0.7654592 0.7962564 1.0000000 0.5451237
## learn_2 0.5242452 0.4148415 0.4466464 0.4380466 0.5451237 1.0000000
## learn_3 0.4401490 0.3456439 0.3604456 0.4869356 0.4996713 0.6151669
## learn_4 0.6113239 0.5253719 0.5317591 0.4878104 0.5171027 0.6354235
## learn_3 learn_4
## altru_1 0.3805127 0.5237730
## altru_2 0.3766731 0.5345590
## altru_3 0.3232445 0.5260100
## rep_1 0.4189428 0.4602211
## rep_2 0.4259929 0.4643645
## rep_3 0.4285986 0.4687317
## rel_1 0.4401490 0.6113239
## rel_2 0.3456439 0.5253719
## rel_3 0.3604456 0.5317591
## rel_4 0.4869356 0.4878104
## learn_1 0.4996713 0.5171027
## learn_2 0.6151669 0.6354235
## learn_3 1.0000000 0.6428559
## learn_4 0.6428559 1.0000000## altru_1 altru_2 altru_3 rep_1 rep_2 rep_3
## altru_1 1.0000000 0.5099160 0.5253853 0.5970213 0.4988453 0.5593989
## altru_2 0.5099160 1.0000000 0.5570987 0.2082869 0.1980704 0.1351129
## altru_3 0.5253853 0.5570987 1.0000000 0.2137276 0.3151059 0.2412391
## rep_1 0.5970213 0.2082869 0.2137276 1.0000000 0.6711515 0.8014583
## rep_2 0.4988453 0.1980704 0.3151059 0.6711515 1.0000000 0.8386951
## rep_3 0.5593989 0.1351129 0.2412391 0.8014583 0.8386951 1.0000000
## rel_1 0.4778732 0.4026008 0.3845142 0.4866185 0.5580014 0.6502093
## rel_2 0.3550955 0.1930394 0.3150091 0.3408008 0.4505868 0.5215960
## rel_3 0.3304958 0.2272533 0.2771346 0.4290155 0.5317166 0.6086970
## rel_4 0.4215802 0.3015996 0.4103292 0.5018796 0.5142878 0.6372514
## learn_1 0.4930537 0.3305726 0.4793340 0.4691318 0.4792400 0.5786793
## learn_2 0.4443286 0.4431976 0.4516672 0.3691381 0.1878168 0.2086391
## learn_3 0.2304053 0.3046099 0.2706306 0.3062029 0.2424031 0.2253266
## learn_4 0.3530526 0.4431198 0.4082654 0.3203728 0.3448939 0.3091723
## rel_1 rel_2 rel_3 rel_4 learn_1 learn_2
## altru_1 0.4778732 0.3550955 0.3304958 0.4215802 0.4930537 0.4443286
## altru_2 0.4026008 0.1930394 0.2272533 0.3015996 0.3305726 0.4431976
## altru_3 0.3845142 0.3150091 0.2771346 0.4103292 0.4793340 0.4516672
## rep_1 0.4866185 0.3408008 0.4290155 0.5018796 0.4691318 0.3691381
## rep_2 0.5580014 0.4505868 0.5317166 0.5142878 0.4792400 0.1878168
## rep_3 0.6502093 0.5215960 0.6086970 0.6372514 0.5786793 0.2086391
## rel_1 1.0000000 0.5347926 0.5795852 0.5278510 0.7019145 0.3083980
## rel_2 0.5347926 1.0000000 0.9053889 0.8368109 0.7366298 0.1757777
## rel_3 0.5795852 0.9053889 1.0000000 0.8238593 0.7311087 0.2632732
## rel_4 0.5278510 0.8368109 0.8238593 1.0000000 0.7591225 0.2714696
## learn_1 0.7019145 0.7366298 0.7311087 0.7591225 1.0000000 0.4545200
## learn_2 0.3083980 0.1757777 0.2632732 0.2714696 0.4545200 1.0000000
## learn_3 0.3380432 0.1459491 0.2541749 0.2627978 0.3127791 0.5380890
## learn_4 0.5191015 0.2908225 0.3653342 0.3712177 0.4262743 0.4776031
## learn_3 learn_4
## altru_1 0.2304053 0.3530526
## altru_2 0.3046099 0.4431198
## altru_3 0.2706306 0.4082654
## rep_1 0.3062029 0.3203728
## rep_2 0.2424031 0.3448939
## rep_3 0.2253266 0.3091723
## rel_1 0.3380432 0.5191015
## rel_2 0.1459491 0.2908225
## rel_3 0.2541749 0.3653342
## rel_4 0.2627978 0.3712177
## learn_1 0.3127791 0.4262743
## learn_2 0.5380890 0.4776031
## learn_3 1.0000000 0.6645125
## learn_4 0.6645125 1.0000000## altru_1 altru_2 altru_3 rep_1 rep_2 rep_3
## altru_1 1.0000000 0.8401681 0.7674649 0.8108868 0.6476771 0.6417648
## altru_2 0.8401681 1.0000000 0.9552585 0.5570224 0.4701522 0.6762123
## altru_3 0.7674649 0.9552585 1.0000000 0.5085838 0.4293073 0.6199956
## rep_1 0.8108868 0.5570224 0.5085838 1.0000000 0.5657020 0.3577558
## rep_2 0.6476771 0.4701522 0.4293073 0.5657020 1.0000000 0.7459098
## rep_3 0.6417648 0.6762123 0.6199956 0.3577558 0.7459098 1.0000000
## rel_1 0.8947864 0.7606153 0.6998558 0.8168909 0.7173660 0.7320337
## rel_2 0.7963324 0.6263476 0.6220590 0.6885080 0.6573715 0.7785912
## rel_3 0.8000788 0.6190714 0.6356660 0.7120817 0.7494456 0.5691046
## rel_4 0.6860868 0.6335186 0.5611614 0.4035125 0.7087088 0.9181349
## learn_1 0.7303785 0.5822868 0.5104909 0.5494319 0.8777587 0.7772327
## learn_2 0.8825484 0.8810634 0.8345223 0.7968224 0.5810211 0.6850761
## learn_3 0.5558843 0.4708333 0.3856657 0.5819282 0.7126205 0.7553629
## learn_4 0.7434225 0.6480223 0.6915766 0.6904127 0.6540665 0.7151812
## rel_1 rel_2 rel_3 rel_4 learn_1 learn_2
## altru_1 0.8947864 0.7963324 0.8000788 0.6860868 0.7303785 0.8825484
## altru_2 0.7606153 0.6263476 0.6190714 0.6335186 0.5822868 0.8810634
## altru_3 0.6998558 0.6220590 0.6356660 0.5611614 0.5104909 0.8345223
## rep_1 0.8168909 0.6885080 0.7120817 0.4035125 0.5494319 0.7968224
## rep_2 0.7173660 0.6573715 0.7494456 0.7087088 0.8777587 0.5810211
## rep_3 0.7320337 0.7785912 0.5691046 0.9181349 0.7772327 0.6850761
## rel_1 1.0000000 0.8561271 0.8113240 0.7154989 0.7623520 0.9312358
## rel_2 0.8561271 1.0000000 0.8318030 0.7986390 0.7544221 0.8021970
## rel_3 0.8113240 0.8318030 1.0000000 0.6502975 0.8456933 0.7522687
## rel_4 0.7154989 0.7986390 0.6502975 1.0000000 0.8840149 0.6751248
## learn_1 0.7623520 0.7544221 0.8456933 0.8840149 1.0000000 0.6682304
## learn_2 0.9312358 0.8021970 0.7522687 0.6751248 0.6682304 1.0000000
## learn_3 0.6622455 0.6909950 0.5415595 0.8292811 0.7748591 0.6689546
## learn_4 0.8076364 0.9295839 0.8351680 0.6629052 0.6622768 0.8046952
## learn_3 learn_4
## altru_1 0.5558843 0.7434225
## altru_2 0.4708333 0.6480223
## altru_3 0.3856657 0.6915766
## rep_1 0.5819282 0.6904127
## rep_2 0.7126205 0.6540665
## rep_3 0.7553629 0.7151812
## rel_1 0.6622455 0.8076364
## rel_2 0.6909950 0.9295839
## rel_3 0.5415595 0.8351680
## rel_4 0.8292811 0.6629052
## learn_1 0.7748591 0.6622768
## learn_2 0.6689546 0.8046952
## learn_3 1.0000000 0.6108139
## learn_4 0.6108139 1.0000000##
## Call:
## factanal(x = know_cr, factors = 3, rotation = "varimax")
##
## Uniquenesses:
## know_cr1 know_cr2 know_cr3 know_cr4 know_cr5 know_cr6
## 0.48 0.30 0.00 0.00 0.37 0.91
##
## Loadings:
## Factor1 Factor2 Factor3
## know_cr2 0.65 0.48
## know_cr3 0.84 0.46
## know_cr5 0.72
## know_cr1 0.64
## know_cr4 0.36 0.91
## know_cr6
##
## Factor1 Factor2 Factor3
## SS loadings 1.84 1.64 0.45
## Proportion Var 0.31 0.27 0.07
## Cumulative Var 0.31 0.58 0.65
##
## The degrees of freedom for the model is 0 and the fit was 8e-04
##
## Call:
## factanal(x = dibbs1gr[paste("group.in", 1:5, sep = "")], factors = 2, rotation = "varimax")
##
## Uniquenesses:
## group.in1 group.in2 group.in3 group.in4 group.in5
## 0.21 0.56 0.00 0.00 0.13
##
## Loadings:
## Factor1 Factor2
## group.in2 0.59 0.31
## group.in3 0.99
## group.in5 0.82 0.45
## group.in1 0.56 0.70
## group.in4 0.98
##
## Factor1 Factor2
## SS loadings 2.33 1.76
## Proportion Var 0.47 0.35
## Cumulative Var 0.47 0.82
##
## Test of the hypothesis that 2 factors are sufficient.
## The chi square statistic is 6.07 on 1 degree of freedom.
## The p-value is 0.0138
##
## Call:
## factanal(x = comf, factors = 4, rotation = "varimax")
##
## Uniquenesses:
## altru_1 altru_2 altru_3 rep_1 rep_2 rep_3 rel_1 rel_2 rel_3
## 0.27 0.29 0.35 0.43 0.23 0.16 0.36 0.07 0.16
## rel_4 learn_1 learn_2 learn_3 learn_4
## 0.22 0.28 0.29 0.00 0.39
##
## Loadings:
## Factor1 Factor2 Factor3 Factor4
## rel_2 0.90
## rel_3 0.82 0.31
## rel_4 0.72 0.40
## learn_1 0.63 0.33 0.40
## altru_1 0.67 0.46
## altru_2 0.81
## altru_3 0.75
## learn_2 0.69 0.41
## rep_1 0.32 0.62
## rep_2 0.32 0.79
## rep_3 0.40 0.79
## learn_3 0.93
## rel_1 0.44 0.43 0.48
## learn_4 0.34 0.48 0.45
##
## Factor1 Factor2 Factor3 Factor4
## SS loadings 3.23 3.02 2.74 1.52
## Proportion Var 0.23 0.22 0.20 0.11
## Cumulative Var 0.23 0.45 0.64 0.75
##
## Test of the hypothesis that 4 factors are sufficient.
## The chi square statistic is 82.12 on 41 degrees of freedom.
## The p-value is 0.000145
Note that the echo = FALSE parameter was added to the code chunk to prevent printing of the R code that generated the plot.